Senior Engineer, Data Engineering

I’m currently working with a London-based fintech / data business hiring a Data Engineer to join a high-impact team building modern data infrastructure and analytics products around complex, high-volume datasets. This is a strong opportunity for someone who enjoys owning production pipelines properly end-to-end in production, rather than just building transformations in isolation. What you’ll be doing: Building and maintaining production-grade data pipelines in Python Onboarding and integrating new data sources Designing and optimising transformations using a modern columnar stack Owning data quality, monitoring/alerting, reruns/backfills and operational robustness Working closely with a small team in an environment where you can genuinely influence how things are built What they’re looking for: Strong Python and SQL Hands-on experience with Polars, Parquet and/or Arrow/PyArrow Experience owning pipelines in production end-to-end A strong engineering mindset around reliability, observability and delivery Ability to work independently and help drive things forward Nice to have: Time-series, high-volume or event-driven data experience Orchestration exposure such as Airflow, Dagster, Prefect, Temporal or similar Finance or market data experience Details: Permanent role London / hybrid Small, technically strong team Salary flexible depending on fit and level If this sounds like you, or you’d be open to hearing more, feel free to apply or message me directly.