Python Data Engineer - Hedgefund

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

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.

• 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.

• 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.

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

• 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 www.huxley.com

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales