Python Data Engineer - Hedgefund

Huxley Associates
London
3 days ago
Applications closed

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Location: London Hybrid: 2 days per week on-site Type: Full-time


About the Role

A leading multi‑strategy hedge fund is seeking a highly skilled Python Data Engineer to join its technology and data team. This is a hands‑on role focused on building and optimising data infrastructure that powers quantitative research, trading strategies, and risk management.


Key Responsibilities

  • Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources.
  • Design and manage cloud‑based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data.
  • Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time‑series data.
  • Optimize workflows for low latency and high throughput, critical for trading and research.
  • Collaborate with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modeling and strategy development.
  • Contribute to the design and implementation of the firm's security master database.
  • Analyse datasets to extract actionable insights for trading and risk management.
  • Document system architecture, data flows, and technical processes for transparency and reproducibility.

Requirements

  • Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development.
  • Hands‑on experience with AWS services (S3, Glue, Lambda) and Databricks.
  • Solid understanding of financial market data, particularly time‑series.
  • Knowledge of data quality frameworks and performance optimisation techniques.
  • Degree in Computer Science, Engineering, or related field.

Preferred Skills

  • SQL and relational database design experience.
  • Exposure to quantitative finance or trading environments.
  • Familiarity with containerisation and orchestration (Docker, Kubernetes).

What We Offer

  • Competitive compensation and performance‑based bonus.
  • Hybrid working model: 2 days per week on‑site in London.
  • Opportunity to work on mission‑critical data systems for a global hedge fund.
  • Collaborative, high‑performance culture with direct exposure to front‑office teams.

To Avoid Disappointment, Apply Now!


To find out more about Huxley, please visit (url removed)


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