Python Data Engineer

About the role

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com

At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here.

* As at 30 June 2026

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers in the world. At Man we are constantly looking at better ways of doing things. Our culture embraces change and change is the norm rather than the exception in a constantly evolving organisation and industry.

We are looking for a Python Data Engineer to work within our Enterprise Engineering Data Platform team. The potential candidate is expected to have strong analytical skills and a genuine passion for technology and data. The work will be a mix of extending and supporting existing systems as well as some involvement with greenfield data-centric projects in line with our long-term vision. The work aligns with multiple business functions like Operations, Risk management, Finance as well as other business streams that are associated with our investment engines.

Technical Competencies

2-6 years of experience working as a SQL Server/Python/ETL Developer, comfortable working in a technical environment with a variety of technologies and integration techniques.

Role Responsibilities

Our core Enterprise Engineering Data Platform is primarily based on MS SQL Server with .net services interacting with it. We use Octopus for deployments and have several in house developed reporting tool. We rely on Streamlit, Power BI and Tableau for dashboard creation. We also have Microsoft Analysis services in the finance function.

There are other technical teams who use Clickhouse, Iceberg, Trino, Arctic DB, DuckDB, Mongo, Oracle, Postgres and streamlit for their data wrangling.