Equity Data Engineer - Global Systematic Hedge Fund

Selby Jennings
City of London, England
7 months ago
Applications closed

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Overview

Our client, a world-leading alternative investment hedge fund, is seeking a talented Data Engineer to join their high-performing Equity Pod in London. This is an opportunity to work at the forefront of quantitative finance, where cutting-edge technology meets advanced research. The firm designs and deploys sophisticated trading strategies across long/short equities, systematic strategies, and global macro. With AUM over $35bn, the culture emphasizes innovation, collaboration, and intellectual curiosity, and this is a role for data engineers, researchers, and technologists pushing the boundaries of systematic investing.


Responsibilities

  • Develop and maintain automated ETL pipelines to accelerate dataset onboarding and manage the full data pipeline lifecycle.
  • Design and implement RESTful APIs to support data access and integration.
  • Contribute to the architecture and development of the data framework.
  • Build data quality checks to ensure accuracy, consistency, and coverage.

Requirements

  • 1-3 years\' experience as a Data Engineer, ideally from Big Tech or finance.
  • Advanced Python skills, including pandas and Linux proficiency.
  • Experience with and knowledge of SQL.
  • Experience with ETL pipelines and data lifecycle management.
  • Familiarity with AWS cloud infrastructure.
  • Ability to start within 3 months (notice and non-compete).

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Finance


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