Python Data Engineer — High-Impact Pipelines (Hybrid, London)

Huxley Associates; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading multi-strategy hedge fund based in London is looking for a skilled Python Data Engineer to optimize data infrastructure that supports quantitative research and trading strategies. Your responsibilities include managing ETL pipelines, designing cloud-based data solutions, and ensuring data quality for financial analysis. This full-time role offers a hybrid work model, competitive compensation, and a chance to collaborate with high-performance teams directly involved in trading operations.

Benefits

Competitive compensation

Performance-based bonus

Collaborative culture

Qualifications

• Strong proficiency in Python and ETL development.
• Hands-on experience with AWS services.
• Solid understanding of financial market data.

Responsibilities

• Develop and maintain scalable Python-based ETL pipelines.
• Design and manage cloud-based data lake solutions.
• Implement rigorous data quality routines.

Skills

Python (pandas, NumPy, PySpark)

ETL development

AWS services (S3, Glue, Lambda)

Data quality frameworks

Financial market data

Education

Degree in Computer Science, Engineering, or related field

Tools

Databricks

SQL

Docker

Kubernetes

Job description

A leading multi-strategy hedge fund based in London is looking for a skilled Python Data Engineer to optimize data infrastructure that supports quantitative research and trading strategies. Your responsibilities include managing ETL pipelines, designing cloud-based data solutions, and ensuring data quality for financial analysis. This full-time role offers a hybrid work model, competitive compensation, and a chance to collaborate with high-performance teams directly involved in trading operations.