Capgemini is seeking an experienced Data Engineer in Northampton to design, develop, and optimize large-scale data processing solutions. You will build data pipelines using Python, PySpark, and SQL, work with distributed frameworks, and collaborate with stakeholders to deliver data-driven outcomes.
The role requires 7–9 years in data engineering, strong Python PySpark skills, and experience with cloud platforms.
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Data Engineer: Python, PySpark & SQL | Hybrid Role employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
