Data Engineer

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.