Data Engineer

Data Engineer

x3 days a week in the office in London (Green Park)

About the Role & Company

An established, globally operating financial technology firm is growing its London-based engineering function, with data at the core of its decision-making processes. This is a low-ego, high-impact environment where scalable data architecture underpins cutting-edge research, quantitative modelling, and business-critical systems.

As part of a lean and fast-moving data engineering team, you'll build the infrastructure and tooling that enables intelligent data use across the organisation. With significant headroom for expansion over the next 12-24 months, this is an ideal time to join a team at the heart of strategic tech delivery.

What You'll Be Doing

• Build and evolve reliable pipelines that ingest, process, and expose data across multiple internal platforms
• Partner with quant stakeholders to translate real-world requirements into high-performance data solutions
• Expand data platform functionality, improving latency, scalability, and observability as usage grows
• Own processes around quality assurance, validation, and error monitoring of datasets
• Explore and introduce new technologies and tooling to keep systems efficient and future-proof
• Play a key role in maintaining smooth, reliable access to structured and unstructured data sources

What You'll Be Doing

• Build and evolve reliable pipelines that ingest, process, and expose data across multiple internal platforms
• Partner with quant stakeholders to translate real-world requirements into high-performance data solutions
• Expand data platform functionality-improving latency, scalability, and observability as usage grows
• Own processes around quality assurance, validation, and error monitoring of datasets
• Explore and introduce new technologies and tooling to keep systems efficient and future-proof
• Play a key role in maintaining smooth, reliable access to structured and unstructured data sources

What They're Looking For

• Solid Python and Linux/Unix experience for scripting, transformation, and automation tasks
• Strong SQL abilities, with additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres)
• Strong grasp of core data architecture concepts including schema design and modelling principles
• Experience working in cloud environments (AWS or GCP ideal)
• Version control best practices (Git), plus familiarity with automated testing or CI/CD pipelines
• Bachelor's degree in Computer Science, Software Engineering, or a related field

Bonus Skills

• Knowledge of data orchestration tools (e.g. Airflow)
• Background in Java or distributed data systems
• Prior exposure to large-scale infrastructure in data-heavy environments (e.g. trading, analytics, or research)
• Master's degree in a technical discipline is welcome but not required

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).