Senior Data Engineer - $8 Billion Hedge Fund

JR United Kingdom; Slough; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading systematic hedge fund in London is seeking a Senior Data Engineer to join their high-impact team in Slough. You will be responsible for building scalable data pipelines and platforms, collaborating with quantitative researchers and portfolio managers. Ideal candidates should have over 5 years of data engineering experience, strong Python skills, and expertise in SQL.

Qualifications

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

Responsibilities

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

Skills

Python

Data wrangling

SQL

RDBMS understanding

Cloud-based data solutions

Git

Docker

CI/CD pipelines

Testing and monitoring

API management

dbt

Snowflake

Kafka

Airflow

Java feedhandler support

Migration of legacy systems

Job description

Social network you want to login/join with:

Senior Data Engineer - $8 Billion Hedge Fund, slough

col-narrow-left

Client:

Radley James

Location:

slough, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

6

Posted:

26.06.2025

Expiry Date:

10.08.2025

col-wide

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.