Data Engineering Jobs in Warrington

2 of 2 Data Engineering Jobs in Warrington

BI Lead

Warrington, Cheshire, North West, United Kingdom
Hybrid / WFH Options
Vaultex UK
role - this is done on a rota basis. Job Purpose The BI Lead will be responsible for shaping and maintaining the Enterprise BI and Data warehouse estate. You'll be working with both on-prem and cloud technologies, predominantly focussed on the Microsoft stack (SQL/Azure SQL databases … Data Factory, Synapse, Power BI, Power Platform) You will play a critical role in designing, developing, implementing and maintaining robust data solutions on the Azure and Power BI platforms. You will collaborate closely with cross-functional teams to gather requirements, understand business objectives, and translate them into scalable … and efficient data pipelines and reporting suites. Your expertise will be instrumental in establishing best practices and guiding the development of our data infrastructure to support our long-term data strategy. In addition, the role will be pivotal to understanding the direction of the Data and More ❯
Employment Type: Permanent, Work From Home
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Motorsports Senior Data Processing Engineer

warrington, cheshire, north west england, 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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