Data Engineering Jobs in Hemel Hempstead

2 of 2 Data Engineering Jobs in Hemel Hempstead

Lead Data Engineer

Hemel Hempstead, Hertfordshire, United Kingdom
NHS Professionals
About The Role We have an exciting opportunity for a Lead Data Engineer to join our fast-growing team and support us in building the next generation of data infrastructure that will power our growth. As Lead Data Engineer, you will lead the development of data pipelines across NHS Professionals (NHSP) with your extensive experience architecting enterprise data solutions on Azure cloud platform and SSIS. You can demonstrate deep expertise in designing and implementing ETL pipelines using Azure services (Synapse Analytics, Data Factory, Data bricks, and SQL Database) and SSIS package development. … You should have a proven track record of leading teams, migrating legacy systems to cloud, implementing data governance, and optimizing costs. You have high proficiency in SQL, Python, Spark, and SSIS scripting, along with 6+ years of hands-on data engineering experience. Key responsibilities include architecting Azure More ❯
Employment Type: Permanent
Salary: GBP Annual
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Motorsports Senior Data Processing Engineer

hemel hempstead, east anglia, 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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