Senior Data Engineer - $8 Billion Hedge Fund

JR United Kingdom; City Of London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading systematic hedge fund in London is seeking a Senior Data Engineer to enhance its data infrastructure. The role requires developing scalable data solutions and collaborating with financial experts. Ideal candidates will have strong Python and SQL skills, along with extensive experience in data engineering, to drive data-driven strategies.

Qualifications

• 5+ years in data engineering.
• Strong Python and SQL skills.
• Experience with cloud-based solutions and data transformation.

Responsibilities

• Build modern, scalable data pipelines and platforms.
• Collaborate with quants and portfolio managers.
• Overhaul data infrastructure for quant research and trading.

Skills

Data Engineering

Python

SQL

Cloud-based Data Solutions

APIs

Git

Docker

CI/CD Pipelines

Tools

dbt

Snowflake

Kafka

Airflow

MATLAB

Job description

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Senior Data Engineer - $8 Billion Hedge Fund, london (city of london)

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Client:

Radley James

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

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
• 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.