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About the Role
The Front Office Data Products team serves traders, risk, and senior management by building and maintaining data pipelines, models, and products to support trading decisions and business processes. This role will accelerate the delivery of high-value data products, supporting real-time use cases and expanding Python data visualization capabilities.
Responsibilities
- Build and maintain data pipelines integrating with trading workflows and business processes, including operational ownership and data quality controls.
- Collaborate with stakeholders to understand requirements, translate business needs into technical tasks, and deliver data products.
- Contribute to architectural decisions for pipelines and systems.
- Design database schemas and SQLAlchemy ORM models for data quality and governance.
- Utilize streaming technologies and event-driven architecture for real-time visualizations.
- Develop dashboards and data products using Python UI tools (Plotly Dash, Streamlit or similar).
- Participate in peer reviews and uphold engineering standards (coding, testing, CI/CD, observability, security-by-design).
- Tune and optimize SQL queries for performance.
- Work with DevOps processes (Azure DevOps, CI/CD pipelines, Docker, Kubernetes).
- Take ownership of work end-to-end, including prioritization, communication, planning, risk management, and task completion.
- Act as a role model for Python and data engineering best practices.
Requirements
- Strong Python and SQL experience.
- Experience with data orchestration tools (Airflow, Dagster, Prefect).
- Experience designing database schemas and ORM models (e.g. SQLAlchemy).
- Experience with SQL query performance tuning and optimization.
- Experience with Python UI/dashboard tools (Plotly Dash, Streamlit or similar).
- DevOps experience (CI/CD pipelines, Azure DevOps or similar).
- Strong communication skills, with the ability to work with both technical colleagues and business stakeholders.
- Experience with Kafka or other streaming technologies (e.g. Azure Event Hubs) is strongly preferred.
- Experience with Kubernetes is strongly preferred.
- Experience with Docker and containerization is strongly preferred.
- Experience with Azure Cloud services (Blob Storage, Application Insights, KeyVault, Azure DevOps) is strongly preferred.
- Commodities trading or financial services background is strongly preferred.
- Dagster experience is a plus.
- Tableau experience is a plus.
Skills
- Python
- SQL
- Data Orchestration Tools
- Airflow
- Dagster
- Prefect
- SQLAlchemy
- SQL Query Performance Tuning
- Python UI/Dashboard Tools
- Plotly Dash
- Streamlit
- DevOps
- CI/CD Pipelines
- Azure DevOps
- Streaming Technologies
- Event Driven Architecture
- Kafka
- Azure Event Hubs
- Kubernetes
- Docker
- Containerisation
- Azure Cloud Services
- Blob Storage
- Application Insights
- KeyVault
- Commodities Trading
- Financial Services
- Tableau
Location
- London
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Benefits
- Hybrid working (location dependent)
- Personal pension plan
- Private medical and dental insurance
- Bi-annual health assessments
- Corporate gym memberships
- Electric car lease programme
- Childcare vouchers
- Cycle-to-work scheme
- Season ticket loans
- Volunteering opportunities
About the Company
- EDF Trading is part of the EDF Group, a world leader in low-carbon, sustainable electricity generation.
- Energy markets evolve rapidly, requiring agility and flexibility.
- EDF Group and its customers trust EDF Trading to manage assets effectively and efficiently through expert risk management.
- EDF Trading has over 20 years of experience, making them leaders in the field.
Equal Opportunity
- Gender balance and inclusion are very high on the agenda at EDF Trading.