A top quantitative hedge fund is hiring a Senior Data Engineer to join a front office-facing data platform team supporting systematic trading groups.

This role sits at the core of how researchers access and trust data. The focus is on building and operating Python-based data platforms that standardise market and reference datasets, track lineage and freshness, and expose data in a way that is reliable, performant, and easy for researchers and front office teams to work with. This is a hands-on data engineering position centered on correctness, usability, and robustness in a production trading environment.

You'll work closely with other senior engineers and end users (researchers and trading teams), owning data pipelines and access layers end-to-end. The environment is pragmatic rather than greenfield, with scope to improve structure, automation, and reliability over time.

Key responsibilities

• Build and maintain Python-based data pipelines and access layers used by research and trading teams
• Standardise and structure large volumes of market and reference data across asset classes
• Design and maintain data schemas, metadata, and lineage tracking
• Monitor data freshness, quality, and downstream availability
• Work with orchestration tooling (e.g. Airflow) and cloud services in AWS
• Partner closely with researchers to ensure data is usable, consistent, and trusted

Required experience

• Strong experience as a data engineer working on production data platforms
• Excellent Python and SQL skills
• Experience working with columnar / analytical data and Python libraries (e.g. PyArrow, Polars, Pandas)
• Hands-on experience building and operating data pipelines and orchestration workflows
• Practical AWS experience (e.g. S3 and managed services)
• Comfortable owning systems end-to-end and improving existing platforms
• Experience working close to research, analytics, or trading users

Nice to have

• Prior experience in buy-side finance, market data, exchanges, or electronic trading
• Exposure to environments with both Python and C++ data platforms
• Experience improving or modernising legacy or manually deployed pipelines

This role will suit someone senior and pragmatic who enjoys solving real data problems, cares about data quality and usability, and wants to work close to the front office.

If you feel this fits your experience, apply today!