Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
25/03/2019
Full time
Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
25/03/2019
Full time
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
25/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on the identification, analysis and acquiring of strategic data sources for the enterprise data lake, establishing an enduring in-house sourcing, onboarding and publishing capability to enable and support delivery of onwards data strategy and supporting adhoc exploitation and discovery initiatives. Combining accountabilities for planning, source procurement, delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake / warehouse / business intelligence implementations gained in a mix of industry sectors
Be a strong leader with a significant level of technical competence as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have a track record of collaborative working across disparate business and IT disciplines
Demonstrable experience and understanding of business processes and technologies involved in customer interactions and the onboarding and servicing of financial products and services
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage in an analytical context
Experience of appliance databases, such as Teradata
A strong understanding of Data Architecture principles
Appreciation of varied application delivery methodologies
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will be working within the context of an ambitious data landscape consolidation agenda and alongside an exciting portfolio of enterprise level change. You will lead a team of data engineers responsible for all aspects of data onboarding and maintenance from collaborative investigation of business processes that create and master data, sampling, profiling and assessment of candidates, to commissioning and integration of robust and fully documented interfaces resulting in a secure GDPR compliant presentation of the data assets for safe onward integration and exploitation. Working with D&A Change demand functions you will engage with projects and other change vehicles to understand and log their upcoming demands for, or impact upon, data within its operational context and assess and highlight their synergies or conflicts to the wider D&A community. Working with management stakeholders within Communities across the Society, and externally too, you will establish and maintain strong ongoing working relationships with providers of data. Working directly with Data & Analytics senior stakeholders you will collate and present competing demand for data from across the delivery capabilities and, equipped with feasibility analysis and estimates, you will recommend, agree and adjust priorities and progress sprint planning for ongoing execution against an evolving Roadmap that you will maintain. Working with D&A Governance Stakeholders you’ll gather evidence and feasibly on sourcing options for data demand as it arises to either pursue commissioning of interfaces on a “right first time” basis or to pursue early release of value with follow on remediation. You will ensure data is catalogued, inventorised and enriched with technical metadata and verify that it has been tagged with an appropriate security classification. Working closely with Architecture you’ll be investigating and shaping options for data supply from hitherto unfamiliar or emerging source technologies and agreeing recommendations for leverage of existing or new integration patterns and technologies. Working with Analysis & Design you’ll be driving continual improvement of the data onboarding capability through extension of metadata driven ingestion and publication capabilities, creation of new code assets to support emerging integration technology options, and shaping the overall batch orchestration design
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
25/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on the identification, analysis and acquiring of strategic data sources for the enterprise data lake, establishing an enduring in-house sourcing, onboarding and publishing capability to enable and support delivery of onwards data strategy and supporting adhoc exploitation and discovery initiatives. Combining accountabilities for planning, source procurement, delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake / warehouse / business intelligence implementations gained in a mix of industry sectors
Be a strong leader with a significant level of technical competence as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have a track record of collaborative working across disparate business and IT disciplines
Demonstrable experience and understanding of business processes and technologies involved in customer interactions and the onboarding and servicing of financial products and services
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage in an analytical context
Experience of appliance databases, such as Teradata
A strong understanding of Data Architecture principles
Appreciation of varied application delivery methodologies
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will be working within the context of an ambitious data landscape consolidation agenda and alongside an exciting portfolio of enterprise level change. You will lead a team of data engineers responsible for all aspects of data onboarding and maintenance from collaborative investigation of business processes that create and master data, sampling, profiling and assessment of candidates, to commissioning and integration of robust and fully documented interfaces resulting in a secure GDPR compliant presentation of the data assets for safe onward integration and exploitation. Working with D&A Change demand functions you will engage with projects and other change vehicles to understand and log their upcoming demands for, or impact upon, data within its operational context and assess and highlight their synergies or conflicts to the wider D&A community. Working with management stakeholders within Communities across the Society, and externally too, you will establish and maintain strong ongoing working relationships with providers of data. Working directly with Data & Analytics senior stakeholders you will collate and present competing demand for data from across the delivery capabilities and, equipped with feasibility analysis and estimates, you will recommend, agree and adjust priorities and progress sprint planning for ongoing execution against an evolving Roadmap that you will maintain. Working with D&A Governance Stakeholders you’ll gather evidence and feasibly on sourcing options for data demand as it arises to either pursue commissioning of interfaces on a “right first time” basis or to pursue early release of value with follow on remediation. You will ensure data is catalogued, inventorised and enriched with technical metadata and verify that it has been tagged with an appropriate security classification. Working closely with Architecture you’ll be investigating and shaping options for data supply from hitherto unfamiliar or emerging source technologies and agreeing recommendations for leverage of existing or new integration patterns and technologies. Working with Analysis & Design you’ll be driving continual improvement of the data onboarding capability through extension of metadata driven ingestion and publication capabilities, creation of new code assets to support emerging integration technology options, and shaping the overall batch orchestration design
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
22/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
22/03/2019
Full time
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
Hours: 40
Salary: £53,694- £87,253 a year
Introduction
We need:
Data Analysis and Design Lead in our Head office in Swindon
Salary £53,694- £87,253 a year (dependent on current salary and banding) based on a permanent, 35 hours per week contract plus company car or cash allowance
We’re moving forward into the next chapter of our Society’s history with a refreshed strategy that allows us to leverage the benefits of mutuality and adapt to the ever-changing needs of our members. Data underpins this and all five of our cornerstones and is a great enabler towards achieving our ambition of building society, nationwide. We’re transforming the way we collect, look after and use member and business data, and that is why we’re creating new roles as an important step in strengthening the data competence we need to realise the opportunity that data presents for our members and colleagues. The Data & Analytics community is responsible for transforming our data and analytics capability to enable our colleagues to better serve our members’ needs. Within the community, the Data and Analytics Solutions team is responsible for the design, engineering, test and deployment of our data platforms and solutions which are at the core of our strategic ambitions. We’re significantly expanding and strengthening our inhouse teams and working closely with key strategic partners to deliver our strategic ambitions. An exciting opportunity has now arisen to join the growing Data Solutions team as the Data Analysis and Design Lead. You’ll be joining us at an exciting time and will have a huge opportunity to help shape our community as we expand our operations and deliver our strategy.
Who we're looking for
As a minimum requirement, you’ll :
Be typically educated to degree level with significant proven experience in leading data analysis and design teams in a reporting and analytics environment using relevant technologies
Have proven experience at a senior level in a data analysis and design role with multiple objectives and clients.
Extensive experience of hybrid lake and data warehouse architectures and open source technologies.
Extensive financial services experience.
Have line management experience of managing teams operating at specialist/management level and be used to leading teams through periods of complex change
Be highly resilient with the ability to handle conflict and pressure
Have proven ability to communicate and influence at all levels and engage confidently with Senior Executives.
Demonstrate proven experience of managing and improving supplier performance
Possess a detailed knowledge of current and future technologies relevant to Nationwide’s needs
Have excellent negotiation and facilitation skills
Demonstrate the ability to react with pace to changing demand
It would be nice if you also had:
Experience in Teradata, Informatica and Hadoop
Be able to evidence knowledge of project management methodologies and frameworks
What you'll be doing
Reporting to the Director of Data & Analytics Solutions, your role will be to develop and implement designs and related working practices to transform Nationwide’s reporting and analytics capabilities in line with both the Data & Analytics Strategy and the IT Strategy whilst continuing to meet regulatory and business demand. The role will lead and develop a team of specialist data analysts and designers and is accountable for the integrity of delivery within your area and for providing consultancy and support services.
Key accountabilities will be:
Take ownership and lead the design of our strategic data and analytics platforms to transform Nationwide’s data and analytics capabilities.
Drive innovation through a deep understanding of technology trends and drivers and their application to our business needs.
Accountable for the design and technical analysis strategy in collaboration with Enterprise and Programme Architecture.
Accountable for establishing and operating effective governance on solutions to ensure all designs are aligned to the Data & Analytics Strategy, IT Strategy and technical blueprint.
Line management of up to 20 direct reports and responsible for contract, supplier, practice resource quality and compliance (on-shore and offshore, up to an additional 50 resources).
Accountable for resourcing and building the capabilities within the Data Analysis and Solutions Design team.
Additionally, accountable for ensuring a large and complex strategic programme/project portfolio aligns to our strategies through :
Accountability for High Level and Detailed Designs
Accountable for developing detailed, accurate and clear data requirements
Accountable for the production and review of designs and technical requirement across all environments, using expert domain knowledge.
Accountable for production and validation of estimates and quotes and driving value from supplier
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
30 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Company car or allowance worth £4,656 a year
Interested?
You can apply via the ''Apply now'' button.
22/03/2019
Full time
Hours: 40
Salary: £53,694- £87,253 a year
Introduction
We need:
Data Analysis and Design Lead in our Head office in Swindon
Salary £53,694- £87,253 a year (dependent on current salary and banding) based on a permanent, 35 hours per week contract plus company car or cash allowance
We’re moving forward into the next chapter of our Society’s history with a refreshed strategy that allows us to leverage the benefits of mutuality and adapt to the ever-changing needs of our members. Data underpins this and all five of our cornerstones and is a great enabler towards achieving our ambition of building society, nationwide. We’re transforming the way we collect, look after and use member and business data, and that is why we’re creating new roles as an important step in strengthening the data competence we need to realise the opportunity that data presents for our members and colleagues. The Data & Analytics community is responsible for transforming our data and analytics capability to enable our colleagues to better serve our members’ needs. Within the community, the Data and Analytics Solutions team is responsible for the design, engineering, test and deployment of our data platforms and solutions which are at the core of our strategic ambitions. We’re significantly expanding and strengthening our inhouse teams and working closely with key strategic partners to deliver our strategic ambitions. An exciting opportunity has now arisen to join the growing Data Solutions team as the Data Analysis and Design Lead. You’ll be joining us at an exciting time and will have a huge opportunity to help shape our community as we expand our operations and deliver our strategy.
Who we're looking for
As a minimum requirement, you’ll :
Be typically educated to degree level with significant proven experience in leading data analysis and design teams in a reporting and analytics environment using relevant technologies
Have proven experience at a senior level in a data analysis and design role with multiple objectives and clients.
Extensive experience of hybrid lake and data warehouse architectures and open source technologies.
Extensive financial services experience.
Have line management experience of managing teams operating at specialist/management level and be used to leading teams through periods of complex change
Be highly resilient with the ability to handle conflict and pressure
Have proven ability to communicate and influence at all levels and engage confidently with Senior Executives.
Demonstrate proven experience of managing and improving supplier performance
Possess a detailed knowledge of current and future technologies relevant to Nationwide’s needs
Have excellent negotiation and facilitation skills
Demonstrate the ability to react with pace to changing demand
It would be nice if you also had:
Experience in Teradata, Informatica and Hadoop
Be able to evidence knowledge of project management methodologies and frameworks
What you'll be doing
Reporting to the Director of Data & Analytics Solutions, your role will be to develop and implement designs and related working practices to transform Nationwide’s reporting and analytics capabilities in line with both the Data & Analytics Strategy and the IT Strategy whilst continuing to meet regulatory and business demand. The role will lead and develop a team of specialist data analysts and designers and is accountable for the integrity of delivery within your area and for providing consultancy and support services.
Key accountabilities will be:
Take ownership and lead the design of our strategic data and analytics platforms to transform Nationwide’s data and analytics capabilities.
Drive innovation through a deep understanding of technology trends and drivers and their application to our business needs.
Accountable for the design and technical analysis strategy in collaboration with Enterprise and Programme Architecture.
Accountable for establishing and operating effective governance on solutions to ensure all designs are aligned to the Data & Analytics Strategy, IT Strategy and technical blueprint.
Line management of up to 20 direct reports and responsible for contract, supplier, practice resource quality and compliance (on-shore and offshore, up to an additional 50 resources).
Accountable for resourcing and building the capabilities within the Data Analysis and Solutions Design team.
Additionally, accountable for ensuring a large and complex strategic programme/project portfolio aligns to our strategies through :
Accountability for High Level and Detailed Designs
Accountable for developing detailed, accurate and clear data requirements
Accountable for the production and review of designs and technical requirement across all environments, using expert domain knowledge.
Accountable for production and validation of estimates and quotes and driving value from supplier
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
30 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Company car or allowance worth £4,656 a year
Interested?
You can apply via the ''Apply now'' button.
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Data Team Lead
Home based or office based in UK, Ireland, France, Italy, Spain ,Portugal , Bulgaria or Czech Republic
Within IQVIA, our Real-World Analytics Solutions ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.
Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.
While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members. They may also lead direct negotiations with customer, maintaining strong relationships at all times.
Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members. They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution. They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents.
DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account and supporting the RFP process.
There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions.
To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials.
You’ll also need:
Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology)
Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
Knowledge of operating procedures and work instructions and the ability to apply them in practice
Knowledge of Good Clinical Practices and relevant regulatory guidelines
Excellent communication, interpersonal, customer service, and teamwork skills.
please press apply button and follow the steps .
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
20/03/2019
Full time
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Data Team Lead
Home based or office based in UK, Ireland, France, Italy, Spain ,Portugal , Bulgaria or Czech Republic
Within IQVIA, our Real-World Analytics Solutions ( RWAS ) business unit employs over 1,000 dedicated staff to design, implement and manage real-world and post-marketing studies. As healthcare stakeholders increasingly need evidence to support regulatory, reimbursement and prescribing decisions, the IQVIA RWES team offers a comprehensive evidence approach to meet our customer’s unique needs for demonstrating safety, effectiveness and quality.
Data Team Leads independently manage the end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables are completed on time and within budget, to customer satisfaction. They provide comprehensive data management expertise to the Clinical Data Management (CDM) team, and provide leadership and vision in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables.
While each project may be different, our Data Team Leads (DTL’s) may serve as primary point of contact for clients on data management deliverables, and provide project management expertise working with client-side data managers, key decision makers, and internal team members. They may also lead direct negotiations with customer, maintaining strong relationships at all times.
Additionally Service Management is also a key responsibility: DTL’s will work with the Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables, and provide training and development on data management expertise to junior team members. They may serve as the escalation point for unresolved data issues; and independently work with client data managers, vendors, internal team members for resolution. They will also be responsible for creating and/or reviewing and signing-off on all data management plan (DMP) documents.
DTL’s will train and mentor junior DTL staff in Data Management expertise, and may coordinate the work of more junior DTL staff . They’ll be expected to review financial reports on a monthly basis and participate in project reviews as requested, as well as participating in pricing discussions across customer account and supporting the RFP process.
There may also be opportunities for professional development through presenting at professional conferences and/or publishing articles in professional journals, and providing review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions.
To be successful in this role you’ll need to have previous experience and proven competence in managing the delivery of multiple global trials through the full Data Management life-cycle (i.e. large trials of at least 1000 patients) – ideally within late phase trials.
You’ll also need:
Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology)
Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
Knowledge of operating procedures and work instructions and the ability to apply them in practice
Knowledge of Good Clinical Practices and relevant regulatory guidelines
Excellent communication, interpersonal, customer service, and teamwork skills.
please press apply button and follow the steps .
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
What you will be doing: Key responsibilities
As a Data Engineer, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Data Engineer, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating the success of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Experience working with Big Data technologies such as Hadoop, Spark, Kafka…
Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
Being able to adapt your solutions and approaches to technical environment (security, access, tools)
Qualifications :Education and Experience
Bachelor’s degree in computer science, computer engineering, or related fields
1+ years of hands-on experience developing and applying data-driven solutions
Strong experience and knowledge of computer science, data processing and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
Experience in designing Data Integration / ETL
Experience with Python, Linux, SQL, Cloud infrastructure and Docker
Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus
18/03/2019
Full time
What you will be doing: Key responsibilities
As a Data Engineer, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Data Engineer, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating the success of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Experience working with Big Data technologies such as Hadoop, Spark, Kafka…
Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
Being able to adapt your solutions and approaches to technical environment (security, access, tools)
Qualifications :Education and Experience
Bachelor’s degree in computer science, computer engineering, or related fields
1+ years of hands-on experience developing and applying data-driven solutions
Strong experience and knowledge of computer science, data processing and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
Experience in designing Data Integration / ETL
Experience with Python, Linux, SQL, Cloud infrastructure and Docker
Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus
Salary - £38,000 to £44,660
Grade – SEO
FTC 2 years
Closing date – 19/03/2019
Ofqual regulates the Awarding Organisations who provide qualifications in England. Central to our decision making capabilities is accurate and timely data. We are constantly enhancing our use of data and integration with other sources of information to improve our business processes.
As a Manager Data Services professional, you should have previous hands-on experience of Microsoft Azure data technologies and be comfortable working on cloud solutions.
You will be experienced in developing innovative ways of collecting, processing and presenting data. In this role you will be part of the team responsible for expanding our Azure data platform and data collection capabilities using the latest technologies.
As a member of the Data Services (Engineering) Team you will be involved in all aspects of this process from designing data collections and validation, ETL, design of tabular models to the production of reports and dashboards in PowerBI.
This is an exciting opportunity to broaden your skills and work as part of a small expert team. You will be able to discuss ideas with your colleagues and try new technologies and features in Microsoft Azure.
Skills required
Proven experience with the Microsoft BI stack
Developing tabular models using a Kimball methodology
Integrating multiple data sources
Expert analytical and problem solving capabilities
Experience of working with stakeholders at all levels
11/03/2019
Full time
Salary - £38,000 to £44,660
Grade – SEO
FTC 2 years
Closing date – 19/03/2019
Ofqual regulates the Awarding Organisations who provide qualifications in England. Central to our decision making capabilities is accurate and timely data. We are constantly enhancing our use of data and integration with other sources of information to improve our business processes.
As a Manager Data Services professional, you should have previous hands-on experience of Microsoft Azure data technologies and be comfortable working on cloud solutions.
You will be experienced in developing innovative ways of collecting, processing and presenting data. In this role you will be part of the team responsible for expanding our Azure data platform and data collection capabilities using the latest technologies.
As a member of the Data Services (Engineering) Team you will be involved in all aspects of this process from designing data collections and validation, ETL, design of tabular models to the production of reports and dashboards in PowerBI.
This is an exciting opportunity to broaden your skills and work as part of a small expert team. You will be able to discuss ideas with your colleagues and try new technologies and features in Microsoft Azure.
Skills required
Proven experience with the Microsoft BI stack
Developing tabular models using a Kimball methodology
Integrating multiple data sources
Expert analytical and problem solving capabilities
Experience of working with stakeholders at all levels
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Every new dataset has the potential to yield new research initiatives, and our mission as a team is to maximise the number of useful datasets that quants can analyse.
In this role, you will apply your data engineering expertise to help build a next generation data ingestion and transformation platform to support the companies growing data requirements. You will be building a platform that will allow a scale up in the data science team’s ability to process data and deliver a significant advancement in the firm’s data productivity. You will be hands on with big data and NoSQL technologies and will be building microservices and tooling that facilitate the ability to ingest new datasets. You will be working hand in hand with data scientists to understand their requirements and translate these into enterprise scale solutions.
This is an exciting new role that will offer exposure to cutting-edge technologies in a high growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm. It will give an opportunity to make a big impact in a critical part of a growing business. You will be working with cutting edge technologies in an ambitious and technically focussed firm.
Who are we looking for?
You will be an intelligent, capable and hands-on engineer who is enthusiastic and has a genuine interest in both software technology and data science. You will have proven ability to engineer high quality software and experience with python and pandas in a data science context.
The successful candidate will have:
Experience in building microservices.
Experience of relational databases and SQL.
Experience of NoSQL databases – particularly Cassandra.
Experience of Spark and Scala is preferred.
Experience of Java or other OO languages considered advantageous.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Central London office close to 5 stations and 6 tube lines
26/02/2019
Full time
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Every new dataset has the potential to yield new research initiatives, and our mission as a team is to maximise the number of useful datasets that quants can analyse.
In this role, you will apply your data engineering expertise to help build a next generation data ingestion and transformation platform to support the companies growing data requirements. You will be building a platform that will allow a scale up in the data science team’s ability to process data and deliver a significant advancement in the firm’s data productivity. You will be hands on with big data and NoSQL technologies and will be building microservices and tooling that facilitate the ability to ingest new datasets. You will be working hand in hand with data scientists to understand their requirements and translate these into enterprise scale solutions.
This is an exciting new role that will offer exposure to cutting-edge technologies in a high growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm. It will give an opportunity to make a big impact in a critical part of a growing business. You will be working with cutting edge technologies in an ambitious and technically focussed firm.
Who are we looking for?
You will be an intelligent, capable and hands-on engineer who is enthusiastic and has a genuine interest in both software technology and data science. You will have proven ability to engineer high quality software and experience with python and pandas in a data science context.
The successful candidate will have:
Experience in building microservices.
Experience of relational databases and SQL.
Experience of NoSQL databases – particularly Cassandra.
Experience of Spark and Scala is preferred.
Experience of Java or other OO languages considered advantageous.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Central London office close to 5 stations and 6 tube lines
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our Data Operations team are looking for someone to work alongside our existing data analytics team. You will have a proven background in data analysis developing bespoke dashboards for analysis. You will have the opportunity to shape the role with your own ideas, leading with expertise from previous roles to develop existing and future processes and procedures. Your responsibilities in this role will include but not be limited to:
Have a strong understanding of global exchange traded data
Have detailed practical working knowledge of the challenges faced working with reference data.
Understand and document new and existing data models
Provide analysis for data quality and assurance for intra-day market data, identifying and resolving issues.
Perform data validation across a number of external data sets using data visualisation.
Expected to take the initiative to explore different ways of performing tasks but will also follow specific requirements
Co-opt stakeholders to drive a data management culture
Create and analyse bespoke analytics on behalf of key stake holders.
Create custom dashboards for big data analyses employing a range of interactive visualizations methods
You will have the opportunity to drive the success of a new function and have the autonomy to make the role your own, with excellent growth and advancement opportunities. This is a truly multi-faceted role requiring a careful blend of technical and interpersonal skills so you can expect to be stimulated and challenged on a daily basis with a range of new and interesting problems to solve.
Who are looking for?
You will be a pragmatic, motivated and conscientious professional with a background in data analysis or management. You will collaborate with Engineers, Quantitative Researchers and your peers, so exemplary written and oral communication skills coupled with an approachable and proactive manner are key.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
26/02/2019
Full time
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data.
Software Engineering is core to our business. By designing and implementing real-time systems, our engineers are solving some of the world’s most complex financial problems.
The Role
Our Data Operations team are looking for someone to work alongside our existing data analytics team. You will have a proven background in data analysis developing bespoke dashboards for analysis. You will have the opportunity to shape the role with your own ideas, leading with expertise from previous roles to develop existing and future processes and procedures. Your responsibilities in this role will include but not be limited to:
Have a strong understanding of global exchange traded data
Have detailed practical working knowledge of the challenges faced working with reference data.
Understand and document new and existing data models
Provide analysis for data quality and assurance for intra-day market data, identifying and resolving issues.
Perform data validation across a number of external data sets using data visualisation.
Expected to take the initiative to explore different ways of performing tasks but will also follow specific requirements
Co-opt stakeholders to drive a data management culture
Create and analyse bespoke analytics on behalf of key stake holders.
Create custom dashboards for big data analyses employing a range of interactive visualizations methods
You will have the opportunity to drive the success of a new function and have the autonomy to make the role your own, with excellent growth and advancement opportunities. This is a truly multi-faceted role requiring a careful blend of technical and interpersonal skills so you can expect to be stimulated and challenged on a daily basis with a range of new and interesting problems to solve.
Who are looking for?
You will be a pragmatic, motivated and conscientious professional with a background in data analysis or management. You will collaborate with Engineers, Quantitative Researchers and your peers, so exemplary written and oral communication skills coupled with an approachable and proactive manner are key.
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
25 days holiday
Contributory pension scheme
Cycle-to-work scheme
Subsidised gym membership
Monthly company events
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
24/04/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong knowledge of data processing, data modeling, algorithms, and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
24/04/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong knowledge of data processing, data modeling, algorithms, and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
23/04/2019
Full time
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
23/04/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
22/04/2019
Full time
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
