Python Developer – Data Platform & ETL (London)

Client Server Limited; Greater London; On-site; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Bonus

Pension

Self development and career growth

Job summary

Client Server Limited is seeking a Python Developer/Engineer to join a Hedge Fund in London. You will build and optimise a data platform, focusing on data quality, reliability, ETL and microservices.

Expect collaboration across code reviews and a robust CI/CD workflow in a dynamic, data-driven environment. You will design scalable data systems, manage databases, and support operational health while contributing to logs, monitoring and observability.

Qualifications

• Strong backend development experience with Python.
• Experience with financial or market data.
• Experience designing and operating data-intensive and distributed systems.
• Strong knowledge of relational, NoSQL and columnar databases.
• Keen to own and work across the full development lifecycle.
• Collaborative, pragmatic with stakeholder management skills.

Responsibilities

• Develop and optimise the data platform with a focus on data quality and reliability.
• Maintain and enhance ETL processes and microservices.
• Support CI/CD pipelines and infrastructure as code practices.
• Monitor, diagnose and improve system health, logging, alerts and observability.
• Provide operational support and respond to ad hoc requests to keep the platform stable.

Skills

Python

Data engineering

Distributed systems

Stakeholder management

Education

STEM degree (2:1)

MSc preferred

Tools

SQL

ETL

CI/CD

Windows/Linux servers

Job description

Client Server Limited is seeking a Python Developer/Engineer to join a Hedge Fund in London. You will build and optimise a data platform, focusing on data quality, reliability, ETL and microservices.

Expect collaboration across code reviews and a robust CI/CD workflow in a dynamic, data-driven environment. You will design scalable data systems, manage databases, and support operational health while contributing to logs, monitoring and observability.