Senior Data Engineer - $8 Billion Hedge Fund

ZipRecruiter; London; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

A leading systematic hedge fund in London seeks a Senior Data Engineer to enhance its data infrastructure. You will join a high-impact team responsible for data ingestion, transformation, and delivery, building scalable pipelines while working closely with quants and portfolio managers. A great opportunity for those with strong Python, SQL, and cloud experience.

Qualifications

• 5+ years in data engineering.
• Expert SQL skills and solid RDBMS understanding.
• Experience with cloud-based data solutions.

Responsibilities

• Build modern, scalable data pipelines and platforms.
• Support the strategic tech stack and collaborate closely with quants.
• Ownership across the development lifecycle.

Skills

Python

Data wrangling

SQL

Cloud-based data solutions

Git

Docker

CI/CD pipelines

Testing

Monitoring

Communication

Job description

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

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.