Senior Data Engineer

When you join EDF Trading, you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.

Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.

EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.

Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.

Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

Who are we? We are EDF Trading, part of the EDF Group - a world leader in low-carbon, sustainable electricity generation.

Join us, make a difference, and help shape the future of energy.

Job Description:

Data is Energy

EDF Trading is a data business. Trading is transitioning into a data driven business. High quality data and the agility of the analysis are becoming the differentiator. EDF Trading has a leading footprint in the European energy markets and wants to monetise and optimise data as an asset. ​

The European energy space is complex and has a huge appetite for data. Power production from renewables in response to weather, capacity limitations across borders, storage optimisation modelling... these are just some of the complex data opportunities we trade on every day.

We're looking for talented people who share our passion for data to join our team and seize these opportunities with us.

Team / department

The Data team is responsible for providing business solutions aimed at extracting value from large amounts of data. It covers a broad range of activities such as collecting market data and building related analysis tools, processing of real-time data streams, data governance and data science. The role will focus on building the foundational data platform that will enable all other Data services.

Main responsibilities

• Drive the implementations of a modern data platform. Play a key role, in collaboration with the broader Data team, in building a modern data platform on the principles of a data lakehouse but adapted to the company's requirements.
• Design and build data storage solutions to address different use cases. Be technology agnostic and favour open standards (e.g., Parquet, Apache Iceberg). Find the right balance between cost and performance of the proposed solutions.
• Create scalable ingestion and transformation workflows, covering aspects such as observability and logging, using the defined standard technologies, .
• Capture and Manage Data Lineage: Implement lineage tracking for ingestion and transformation processes using the selected standard tools.
• Ensure Data Quality and Consistency: Apply validation, schema enforcement, and error handling across all built systems.
• Collaborate on Data Modeling: Work with analytics and business teams to design schemas that support reporting and advanced analytics.
• Adhere to Governance and Security Standards: Apply best practices for data governance, access control, and compliance.
• Stay Current with Emerging Technologies: Continuously evaluate and propose new tools and frameworks to improve data engineering workflows.
• Participate in agile processes and ceremonies as part of ongoing delivery
• Mentor and review code of other team members
• Contribute to the architectural direction of the platform
• Collaborate with the data support team to ensure the data platform is properly monitored and any incident resolved promptly

Required Skills and Experience

• Data Lakehouse Standards: Hands-on experience with a data lakehouse implementation (either vendor based or open source) which is based open standards such as Parquet and Apache Iceberg. Experience in building data models, partition strategies and performance optimization (e.g. data compaction).
• Data Transformation & Lineage: Experience in performing data transformation and capturing data lineage using tools like dbt or Apache Spark.
• Distributed Data Processing: Solid understanding of Spark or similar frameworks for large-scale data operations.
• SQL Expertise: Strong knowledge of SQL for querying and data modeling.
• Version Control: Familiarity with Git and collaborative development workflows.
• Cloud & Storage Concepts: Understanding of object storage (e.g., Azure ADLSv2) and cloud-based data architectures.

Desirable Skills and Experience

• Query Engines: Experience with Trino, Dremio or similar systems for federated querying.
• Vendor Platforms: Exposure to Databricks or Microsoft Fabric for data engineering workflows.
• Analytical databases such as Clickhouse
• Containerization & Orchestration: Ability to set up and run data tools on Kubernetes.
• Workflow Orchestration: Familiarity with Airflow, Dagster, or similar tools.
• Streaming Data: Knowledge of Apache Kafka or other streaming platforms.
• Observability & Monitoring: Experience with monitoring data pipelines and performance tuning.
• Security & Governance: Understanding of data governance, access control, and compliance best practices.

Person Specification

• Hands-on approach, flexible and positive attitude
• Ability to understand complex problems quickly
• Passion for building quality systems
• Strong communication and interpersonal skills
• Ability to fully participate in a multi-faceted team environment

Hours of work:

8.30am – 5.30pm Monday to Friday

Hybrid working arrangement