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.