Senior Data Engineer - Hedge Fund - London
Company Overview
A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading.
Role Overview
Join a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with full ownership across the development lifecycle.
Qualifications
5+ years in data engineering
Strong Python and data wrangling libraries
Expert SQL skills and solid RDBMS understanding
Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses)
Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring
Clear communicator, comfortable with cross-functional teams
Desirable Experience
APIs from major financial data providers
dbt, Snowflake
Kafka, Airflow
Java feedhandler support
Migration of legacy systems (e.g. MATLAB)
This position offers a competitive compensation package and hybrid working model.