DXC Technology Newcastle upon Tyne, UK
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients. Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC. Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes. DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads. Responsibilities: Understand the business use of data to support work processes and strategic business objectives Leverage data, analytics and data science techniques to create business value through solution delivery and/or self-service enablement. Identifies, acquires, and cleanses/prepares/transforms data in alignment with defined data architecture patterns, reusability principles and business value objectives. Collaborates with data scientists to identify, build and integrate advanced analytics models into solutions. Enables the data scientists to develop the most advanced analytics models. Uses an agile approach (part of a scrum team) to develop analytic solutions and technical components of the platform (data ingestion, data preparation, analytics processing, visualization). Deploys solution including model, documentation, training, integration. Essential Skills: Data Architecture, modelling and Integration Experience in Analytics/Data Platforms and Data Products solution architecture (Hadoop, Azure Analytics). Experience in Data Extract, Load and transformation technics and tools (Hadoop ecosystem, Azure Data Factory, Databricks). Understanding of relational and dimensional data models. Learning Agility Work productively in uncertain and fast changing environments. Finds opportunities in ambiguity; Embraces and adapts to change; adept of learning by doing. Analytical thinking and problem solving Knowledge of techniques and tools that promote effective analysis, determine the root cause of problems and create alternative solutions to solve them in the best interest of the business Optional Skills: Software Engineering, coding Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO). Experience with programming languages / scripting tools (Java, Python, R, C, Spark). Experience with information security management. Data Visualization and Analytics Experience with analytics solutions (Azure Analytics Paas/Saas). Experience in Data Visualization (Spotfire, PowerBI). Software Engineering, coding Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO). Experience with programming languages / scripting tools (Java, Python, R, C, Spark). Experience with information security management. Tools / Platform / Coding Languages that will be used on this project: Platforms: Hadoop, Azure Analytics, Cloudera Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks Data Vizualisation & Analytics: Spotfire, PowerB Coding language – Java, Python Tools - standard JIRA, Jenkins Experience Level: 4 to 10 years of relevant experience DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role. DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.