Data Engineering Jobs in Lincoln

2 of 2 Data Engineering Jobs in Lincoln

Data Architect

Lincoln, Lincolnshire, United Kingdom
Hybrid / WFH Options
Adecco
We are currently recruiting for an experienced Data Architect to work for Lincolnshire Police at their headquarters in Nettleham. This role will be hybrid working Monday to Friday 37 hours a week. This is a temporary role until October 2026 PLEASE NOTE DUE TO POLICE VETTING CRITERIA YOU MUST … LEAST 5 YEARS AT THE TIME OF APPLICATION. UNFORTUNATELY ANYTHING LESS THAN THIS WILL NOT BE CONSIDERED. JOB PURPOSE AND SCOPE The Force's Data Architect is accountable for the design and build of the Force's overall data architecture, taking full responsibility for its implementation and its … ability to serve the data required to produce information, intelligence and insights products for the Force and its partners. CORE WORK AREAS Leadership Subject matter expert on data architecture for the Force and, as required provides expertise to partner organisations, and representing the Force's interest in regard More ❯
Employment Type: Temporary
Salary: £29.06/hour
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Motorsports Senior Data Processing Engineer

lincoln, midlands, united kingdom
General Motors
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 solutions to tackle … 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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