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Senior Data Engineer

EDF Trading Limited
City of London
5 days ago
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Overview

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 Management team is part of the Data Team which works closely with the Front Office and is the centre of data management, data quality and control and it has direct responsibility over the development and maintenance of EDF Trading\'s datasets.


Main responsibilities


This role bridges hands on data engineering with data governance. You will design and operate robust data pipelines and models with a focus on embedding governance by design - capturing metadata and lineage, enforcing access controls and data quality, and ensuring our catalogue and stewardship model reflect the reality of how data flows across EDF Trading.


You will collaborate with traders, analysts, and product teams to translate business needs into governed data products that are high quality, discoverable, and meet the needs of its users.



  • Support the establishment and management of data products by identifying critical data, gathering and documenting data requirements, and embedding data risk and control management within data flows.
  • Develop and maintain the data catalogue and metadata management processes, ensuring automated population and enrichment of metadata from data pipelines and models.
  • Implement and monitor data quality controls within data engineering solutions, including data quality checks and issue management processes.
  • Collaborate with data owners, stewards, and business teams to ensure data assets are trusted, well-documented, and fit for purpose.
  • Develop and document standards, procedures, and operational controls for data management, ensuring these are reflected in technical solutions and engineering practices.
  • Provide advice and support to projects and business stakeholders on data governance best practices, including secure data access, data modelling, and data lifecycle management.
  • Prepare and present technical and governance content at data governance forums (e.g., Data Management Committee, Data Issue Management Forums).

Required Skills and Experience

  • Strong experience in data engineering: ETL/ELT, data modelling, and data analytics and programming languages (e.g., Python, SQL, Alteryx).
  • Experience with data catalogues (e.g. Collibra, Alation) and / or metadata management generally.
  • Experience with data analysis and data modelling (hands-on experience with conceptual, logical and physical data models)
  • Experience implementing data quality controls and issue management processes within data pipelines.
  • Experience with data visualisation tools (Power BI, Tableau).
  • Strong stakeholder engagement skills, including running workshops and presenting to business users.

Desirable Skills and Experience

  • Solid understanding of data governance concepts: metadata management, data ownership/stewardship, data quality, data security, and data architecture.
  • Experience in the energy trading sector or similarly data-rich environments.
  • Experience with data platforms and tools (e.g., Azure, Databricks, MSSQL, Kafka).
  • Hands-on experience developing conceptual, logical, and physical data models.
  • Interest in the latest technologies and automation, with a curiosity to research and innovate.

Person Specification

  • Taking ownership of any issues that come up and facilitates their resolution quickly using their own initiative while managing expectations
  • Ability to multitask, switch focus and prioritise own tasks
  • Interest in energy trading and willingness to work across the business on understanding the needs of different teams
  • 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


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