Python Data Engineer - HedgefundHuxley Associates • City of London, England, United Kingdom
Python Data Engineer - Hedgefund
Huxley Associates
- City of London, England, United Kingdom
- City of London, England, United Kingdom
Über
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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Sprachkenntnisse
- English
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