Senior Data Engineer Jobs in Cheltenham

2 of 2 Senior Data Engineer Jobs in Cheltenham

Senior Data Engineer

Cheltenham, Gloucestershire, United Kingdom
Ultra Electronics Group
we recognise, our business is our people. Job Description Over the past three years, Ultra PCS has transitioned to a new business intelligence and data architecture, centred on SQL Server, SSIS, and Power BI. We've developed an in-house Data Warehouse that serves as our OLAP database … and manages most ETL processes. Power BI is then used to consistently deliver high-quality data to our internal teams. We are Ultra Precision Control Systems Ultra PCS is a leading developer of mission and safety critical equipment in the defence and aerospace industry. Our team of experts are … we recognise, our business is our people. Job Description Over the past three years, Ultra PCS has transitioned to a new business intelligence and data architecture, centred on SQL Server, SSIS, and Power BI. We've developed an in-house Data Warehouse that serves as our OLAP database More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Motorsports Senior Data Processing Engineer

cheltenham, 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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