Data Engineer | ETL Pipelines, Python, Dagster | Cross Asset Trading | IR

Data Engineer, strong Python and ETL experience is needed for a leading global financial services platform, providing clients with access to a broad range of markets and services across multiple asset classes. The Cross Asset Trading firm’s expertise spans Foreign Exchange (FX), Energy and Commodities, Capital Markets, and Clearing, enabling institutional and commercial clients to trade, hedge, invest, and manage risk through a single, integrated platform.

Data sits at the heart of everything they do as a firm. Every trade, client interaction, market movement, and operational process generates valuable information that supports decision-making, regulatory reporting, risk management, and business growth.

As a Data Engineer, you will play a key role in transforming this diverse and complex data landscape into trusted, accessible, and high-quality data products. Working closely with teams across trading, clearing, operations, finance, and technology, you’ll design and build scalable data pipelines using Python and Dagster that bring together data from across the business into a unified platform.

As a Python, ETL Data Engineer your work will enable analytics, reporting, and advanced data solutions that drive better decisions across the organisation.

• Building and operating data ingestion pipelines, handling large-scale file or streaming data and ensuring reliability.

• Python for data processing, orchestration, and pipeline logic, with attention to performance and maintainability, as well as observability and monitoring.

• Experience with Dagster (preferred) or equivalent frameworks (e.g., Airflow, Prefect), including pipeline structuring, scheduling, and dependency management.

This is an opportunity to work with large-scale, real-time financial data in a fast-paced global environment, solving complex engineering challenges.

Location:

3 days a week in the office.