Senior Python and PySpark developer building data pipelines for financial services.
Design and develop high-performance data processing pipelines using Python, PySpark, and SQL for a major financial services consulting firm. The role involves transforming raw market and client data into consumable datasets, optimizing complex queries, maintaining CI/CD pipelines, and mentoring junior engineers. Requires 5–7 years of hands-on experience with strong Agile practices and a deep understanding of ETL, data architecture, and performance tuning.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 2 September 2026 · InsideJobs links you to the original posting.