Python Data Engineer

Salary: £? - ? per year

Requirements:

• 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.

Responsibilities:

• 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.
• 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.

Technologies:

• AWS
• CI/CD
• Cloud
• Docker
• Git
• Support
• MongoDB
• NoSQL
• Python
• Snowflake
• ARM
• Quant

More:

We are a specialist talent acquisition and management consultancy recruiting for a Python Data Engineer contract role in London/Hybrid, with 1–2 days per week on site. This is a 3–6 month initial contract with a negotiable rate inside IR35. We are looking for an experienced Python Data Engineer to join a high-performing data engineering team building and enhancing centralised data services for quantitative researchers, traders and front-office teams. This is a hands-on role within a technically strong team delivering modern data engineering solutions in a challenging and rewarding environment.

last updated 31 week of 2026