Python Data Engineer - Systematic Trading - Hedge Fund

The Client

My client is a market leading alternative asset manager focused on multi-asset systematic investing.

The are looking for a Python focused Data Engineer to join their quantitative platform team.

What You'll Get

• An opportunity to work in one of the most exciting and fast growing buy-side businesses in the City.
• An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
• Incredible career progression opportunities with potential access to all areas of the business.
• A market leading compensation package including basic salary and annual bonus.
• Benefits including a pension, private healthcare, life assurance and 25 days annual leave.

What You'll Do

• Build and maintain the data infrastructure that fuels the funds research and trading strategies.
• Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
• Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalisation, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

What You'll Need

• Strong academic background in a STEM or Computer Science focused discipline.
• Strong Python engineering experience.
• Experience building ETL pipelines using Python.
• Experience of SQL and relational databases.
• Experience with AWS or similar Cloud technology.
• Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
• Experience in the financial markets with a focus on securities & derivatives trading.
• Exceptional communication skills, attention to detail, and adaptability.