Senior Data Engineer Jobs in Swindon

2 of 2 Senior Data Engineer Jobs in Swindon

Motorsports Senior Data Processing Engineer

swindon, wiltshire, south west england, united kingdom
General Motors
successful candidate is expected to report to Concord, NC on a full-time basis. The Role We are seeking a highly skilled and motivated Senior Data Processing Engineer to join the Aero Innovation team within the Motorsports Aerodynamic Department. Your primary responsibility will be to develop complex … data pipelines and data-processing systems that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As a member of our multi-disciplinary team, you will be at the forefront of designing, developing, and optimizing state-of-the-art … functionally with our partners and ultimately help shape the future of motorsports. What You’ll Do Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources. Work with data engineers and other teams More ❯
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Senior Data Engineer

Swindon, England, United Kingdom
Harnham
Job Description Senior Data Engineer Wiltshire - 3 days in office £65,000 About The Company The company operates in both B2B and D2C markets, providing food solutions to institutions and individuals. With over 30 years of experience and a presence in 400 markets, it leverages data-driven insights, forensic analytics, and predictive modelling to enhance business performance. The Role The team is responsible for making data reliable, consistent, persistent, and available for analysts through self-service platforms such as Tableau, Power BI, and SSRS. Within the team, this role will focus on data … Ensuring system availability and reliability to support business operations. Leading internal development projects to enhance infrastructure and free up resources for strategic improvements. Analysing data to understand differences, ensuring accuracy, and improving data validation processes. Handling data quality and migration projects to enhance system performance and integrity. More ❯
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