Senior Data Engineer – Quant Hedge Fund

Winston Fox; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading Quantitative Hedge Fund seeks a Senior Data Engineer with over 5 years of experience, particularly in financial markets. Join a dynamic team enhancing data processes and technologies, including Python and SQL, while fostering a collaborative work environment.

Qualifications

• 5+ years as a Data Engineer, 2+ in Financial Markets Engineering.
• Experience with data pipelines from financial data vendors.
• Ability to communicate with technical/non-technical teams.

Responsibilities

• Ingest, transform, and distribute datasets.
• Work within a team to revamp data access and processing.
• Ensure end-to-end delivery from design to support.

Skills

Python

SQL

Data Integrity

Code Quality

Agile Practices

Tools

Git

Docker

Jenkins

Snowflake

Airflow

Job description

This range is provided by Winston Fox. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Winston Fox

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Investment Management, Data Infrastructure and Analytics, and Investment Banking

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