Hybrid Python Data Engineer for Market Data & Trading

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

Job summary

A leading multi-strategy hedge fund is seeking a highly skilled Python Data Engineer in London to focus on building and optimizing data infrastructure. The role demands strong Python skills, AWS experience, and a solid understanding of financial market data. Candidates will develop scalable ETL pipelines, ensure data quality, and collaborate with trading teams. This position offers a competitive salary, performance-based bonuses, and a hybrid work environment, requiring 2 days on-site.

Benefits

Competitive compensation

Performance-based bonus

Collaborative work culture

Qualifications

• Strong proficiency in Python and ETL development.
• Hands-on experience with AWS and Databricks.
• Solid understanding of financial market data, particularly time-series.

Responsibilities

• Develop and maintain scalable Python-based ETL pipelines.
• Design and manage cloud-based data lake solutions (AWS, Databricks).
• Implement data quality and cleansing routines for financial data.
• Collaborate with teams to deliver tailored data solutions.

Skills

Python proficiency (pandas, NumPy, PySpark)

ETL development

AWS services experience (S3, Glue, Lambda)

Financial market data understanding

Education

Degree in Computer Science, Engineering, or related field

Tools

Databricks

SQL and relational databases

Docker

Kubernetes

Job description

A leading multi-strategy hedge fund is seeking a highly skilled Python Data Engineer in London to focus on building and optimizing data infrastructure. The role demands strong Python skills, AWS experience, and a solid understanding of financial market data. Candidates will develop scalable ETL pipelines, ensure data quality, and collaborate with trading teams. This position offers a competitive salary, performance-based bonuses, and a hybrid work environment, requiring 2 days on-site.