Python Data Engineer - Hedgefund

London 8 days ago Remote Full-time External
Negotiable
Python Data Engineer - Multi-Strategy Hedge Fund 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 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