Data Engineer

About the Role

A leading global trading and investment firm is looking for Data Engineers to join its core data function. The team plays a key role in powering research, modelling, and trading strategies through high-quality, well-managed data systems.

This is a hands-on engineering position within a small but growing team. You’ll work across the full data lifecycle - from design to delivery - helping to shape and scale the firm’s data platform over the next few years. The ideal candidate will bring strong technical ability, curiosity, and a drive to build robust, high-performance systems.

Key Responsibilities

• Partner with quantitative researchers, developers, and portfolio teams to turn business needs into practical, scalable data solutions.
• Extend and optimise the data warehouse by integrating new data sources and improving system performance, scalability, and reliability.
• Help define best practices for data quality, governance, and platform architecture.
• Evaluate and implement modern tools and frameworks for managing, querying, and streaming large datasets.
• Build and maintain automated processes for data validation, anomaly detection, and system monitoring.
• Support the production environment and ensure smooth data operations.
• Manage relationships with external data providers and ensure alignment with business needs.

What You’ll Need

• Strong programming skills in Python and solid experience working in Unix/Linux environments.
• Advanced SQL skills and good knowledge of NoSQL systems (e.g. Postgres, MongoDB), including performance tuning.
• Understanding of data modelling concepts, including both normalised and denormalised structures.
• Experience with cloud technologies such as AWS or GCP.
• Familiarity with version control (Git) and collaborative development workflows, ideally with CI/CD pipelines.
• A degree in Computer Science, Information Systems, or a related discipline.

Desirable Experience

• Background or internship experience within financial services or technology.
• Exposure to Java.
• Experience managing on-premise or hybrid data infrastructure (e.g. Hadoop).
• Knowledge of workflow orchestration tools such as Apache Airflow.
• Postgraduate degree in Computer Science, Data Science, or related field.

Benefits

• Comprehensive health, dental, and vision coverage
• Flexible approach to time off and sick leave
• Discretionary bonus