Data Analytics Engineer

  • AstraZeneca
  • Melbourn, Royston SG8, UK
  • 18/10/2021
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Data & Analytics Engineer

Cambridge

A pre-identified candidate has been shortlisted for this position.

The Data & Analytics Engineer may be an experienced individual contributor but will also play a leadership role on smaller initiatives and projects overseeing other Software Engineers and may be a local Team Leader. The Data & Analytics Engineer will pair with other Engineers, Leads, and Architects to design, build, test and deploy data related solutions.

The role will be involved in analysing requirements, implementing software solutions, testing components, release and maintenance. The Data & Analytics Engineer must strive to gain as much understanding and exposure to the development stack as well as the domains they are working in as well as contribute to the development stack. This role will also be involved in providing recommendations on enhancements, monitoring the performance, and support maintenance of deployed applications.

About AstraZeneca

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. At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Here, you would express diverse perspectives, contribute to an energised environment and provide creative ideas - and be rewarded for this.

R&D IT is a global IT capability supporting drug research, drug development, Global Product & Portfolio Strategy, Global Medical Affairs, Safety & Regulatory and Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations. We operate out of sites across the US, UK, Sweden, India and Mexico.

The R&D Late Science Data Platform provides analytics, data insight services and solutions critical to the mission of AstraZeneca. It is is organized into teams specialising in: Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance.

We are recruiting for engineers to be based at our Cambridgeshire sites. As an engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a T-shaped engineer, a person with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work primarily on our AWS data platform but there is also some opportunities to work our Azure platform.

You will join a team that has delivered cloud solutions, such as the development of auto-scaling containerised ETL. Similarly, we have built an automated ETL test harness which integrates with our evolving CI/CD processes. We have a significant backlog 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 patient safety reporting 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 Chennai and Guadalajara. You would be the technical point of reference on projects. 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.

So, experience of a variety of delivery management approach will come in useful. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on a blueprint, right through to hypercare. You will also have the opportunity to improve processes by introducing automation across all of our delivery teams.

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 skills and experience

  • You will have delivery experience across key elements of the data & analytics domain
  • You will need great interpersonal skills & a collaborative approach to delivery
  • You will be able to demonstrate an ability to understand business needs and translate them into a solution
  • You must have strong analytical and data manipulation ability
  • You will have experience of technical leadership in data and analytics

Desirable technical skills & experience

  • Experience of ETL & cloud techniques and tools (we currently use Talend / Python Lambda for ETL, AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora)
  • Experience of visualisation technologies (particularly Power BI)
  • Experience of building scalable high availability analytics solutions
  • Continuous integration and continuous development (we use GitHub Enterprise, Jenkins, Nexus, Bitbucket),
  • 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)
  • Data Architecture experience, particularly as part of a Data Mesh
  • Agile practices, especially being a SCRUM Master

Desirable domain experience

  • Clinical trial data (CDISC, SDTM, ADAM, HL7)
  • Pharmacovigilance (Safety & Regulatory)
  • Genomics
  • Lab equipment data