Senior Data Engineer - Quant Hedge Fund

ZipRecruiter; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A market-leading Quantitative Hedge Fund seeks a Senior Data Engineer with a strong background in Financial Markets Engineering. The role involves working within a dynamic Data Engineering team to enhance data processing and develop robust systems leveraging technologies like Python, SQL, and Snowflake. This is an exciting opportunity to contribute to a tech-driven environment within a supportive and friendly culture.

Qualifications

• 5+ years as a Data Engineer, especially in Financial Markets Engineering.
• Expertise in Python and SQL; familiarity with relational and time-series databases.
• Experience with data pipelines from financial market data vendors.

Responsibilities

• Join a Data Engineering team covering data ingestion, storage, and processing.
• Contribute to revamping data processing and on-boarding new datasets.
• Own end-to-end delivery from design to operational support.

Skills

Python

SQL

Data Integrity

Agile Practices

Code Quality

Tools

dbt

Airflow

Snowflake

Git

Docker

Jenkins

Databricks

Job description

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 .
• 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.