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

Location: London,, GB

Posted Date: 11/17/2025