At a Glance
- Tasks: Build and operate data pipelines using Python and Dagster for a leading financial services platform.
- Company: Global financial services firm with a focus on innovation and data-driven solutions.
- Benefits: Competitive daily rate, dynamic work environment, and opportunities for professional growth.
- Other info: Work 3 days a week in the office, collaborating across various teams.
- Why this job: Join a fast-paced team and tackle complex engineering challenges in real-time financial data.
- Qualifications: Strong Python and ETL experience, with knowledge of Dagster or similar orchestration tools.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer, strong Python end ETL experience is needed 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 firms 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, Dagster, that brings 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.
- Details of the Data Engineer, Python, ETL
- 3 days a week in the office
- Building and operating data ingestion pipelines, handling large-scale file or streaming data and ensuring reliability.
- Python Development
- Python for data processing, orchestration, and pipeline logic, with attention to performance and maintainability, as well as observability and monitoring.
- Workflow Orchestration
- 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.
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Data Engineer | ETL Pipelines, Python, Dagster | Cross Asset Trading House | £750/ Day Inside I[...] employer: VirtueTech Recruitment Group
At VirtueTech Recruitment Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team members enjoy flexible working arrangements, opportunities for professional growth, and the chance to make a significant impact through their work on large-scale applications. Located near Manchester, our office provides a vibrant environment where creativity thrives, making it an ideal place for passionate Mobile Engineers to advance their careers.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
