Job Overview
Design, develop and enhance Python‑based data services used by front‑office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high‑quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs.
Responsibilities
- Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications.
- Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources.
- Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions.
- Build and maintain APIs and data platforms capable of serving large‑scale financial datasets.
- Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support.
- Promote engineering best practices, including automated testing, version control and CI/CD.
- Deploy and maintain applications within cloud‑native and containerised environments.
- Collaborate with cross‑functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes.
Qualifications
- Strong commercial Python software engineering experience.
- Experience building scalable data services, APIs, data pipelines or data platforms.
- Solid software engineering practices including automated testing, Git and CI/CD.
- Experience working with cloud platforms, ideally AWS.
- Experience with Docker or other containerisation technologies.
- Knowledge of Snowflake and NoSQL databases such as MongoDB.
- Experience working with large‑scale datasets and data transformation processes.
- Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams.
- Experience within financial services.
- Exposure to front‑office, quantitative research, trading, market data, pricing, risk or investment data environments.
- Experience developing high‑performance data solutions in fast‑paced organisations.
Technologies
- AWS
- CI/CD
- Cloud
- Docker
- Git
- MongoDB NoSQL
- Python
- Snowflake
- ARM Quant
Contract Details
This is a 3-6 month initial contract based in London/Hybrid, with 1-2 days per week on site, and a negotiable rate inside IR35.
Why Join Us
We offer an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment. We operate across the technical arena, supporting some of the most economically and strategically important industries in the UK and the world today.
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