Data Engineer validating and reconciling large datasets for financial services.
Join a consulting team supporting tier-1 financial institutions with data validation, reconciliation, and quality assurance. You'll build Python-based frameworks to process millions of records, identify data inconsistencies, and automate quality checks across multiple data sources. This role requires 3–5+ years in data engineering or analytics, with advanced proficiency in Python, Pandas, and SQL; cloud platforms and Spark are bonuses.
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.