Capgemini is seeking an experienced Data Engineer in Northampton to design, develop and optimize scalable data pipelines using Python, PySpark and SQL. You will work across big data technologies, collaborate with stakeholders, and help modernize data platforms in a hybrid environment.
Ideal candidates will have 7–9 years in data engineering, strong Python and PySpark skills, expert SQL, and exposure to Scala and cloud platforms such as Azure, AWS, or GCP.
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Data Engineer: Python, PySpark & SQL (Hybrid) in Northampton 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.
