Python Data Engineer - Hedgefund
Python Data Engineer - Multi-Strategy Hedge Fund
About the Role
Key Responsibilities
Requirements
Preferred Skills
What We Offer
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)
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 | OC(phone number removed) England and Wales