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.
