Senior Data Engineer – Quant Hedge Fund

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

Job summary

An exciting opportunity exists for a Senior Data Engineer at a leading Quantitative Hedge Fund in London. The role involves joining a skilled team focused on developing and managing data systems and pipelines, utilizing modern technologies and working in a collaborative, supportive environment. Ideal candidates will bring extensive experience in data engineering within financial markets, coupled with a passion for code quality and robust systems.

Qualifications

• 5+ years as a Data Engineer, 2+ years in Financial Markets, preferably in a hedge fund.
• Expertise in data engineering with Python and SQL.
• Experience with data pipelines from financial market vendors.

Responsibilities

• Join a data engineering team to handle data ingestion, storage, transformation, and distribution.
• Work on data processing, filtering, and accessing datasets to enhance strategies.
• Contribute to end-to-end delivery from initial design to operational support.

Skills

Python

SQL

Data Pipelines

DevOps

Data Integrity

Tools

Airflow

dbt

Snowflake

Databricks

Git

Docker

Jenkins

Job description

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Senior Data Engineer – Quant Hedge Fund, london (city of london)

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Client:

Winston Fox

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:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought to join a market-leading Quantitative Hedge Fund.

You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar.

This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production.

The firm work on a hybrid working schedule, with a minimum of three-days-per-week in the office, and are renowned for their friendly, supportive and collegiate culture, with an enviably low staff turnover.

Requirements

• 5+ years working as a Data Engineer with 2+ years in Financial Markets Engineering, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology
• Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred.
• Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset….)
• SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices.
• Passionate about code quality, data integrity, and building scalable and robust systems.
• Ability to communicate clearly with technical and non-technical colleagues.

This is an incredible opportunity for a Data Engineer with 5+ years’ experience, to join a market-leading Quantitative Hedge Fund.