Python Data Engineer - Hedgefund
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2025-12-13
Listing for:
Huxley Associates
Full Time, Part Time
position Listed on 2025-12-13
Job specializations:
-
IT/Tech
Data Engineer, Data Scientist, Data Analyst, Data Science Manager
Job Description & How to Apply Below
Python Data Engineer - Multi-Strategy Hedge Fund
Location: London Hybrid: 2 days per week on-site Type: Full-time
About the RoleA 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.
- Strong proficiency in Python (pandas, Num Py, 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 (url removed)
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