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 - The Data team aims to improve the organisation’s use data by making data easier to discover, consume and publish by building several data-centric components. This includes components to store & process extremely large volumes of ticking market data, data virtualisation APIs, flexible data ingestion components, a data catalogue and multiple high-performance data repositories for structured, timeseries and unstructured data.
Position Purpose
Work as a senior member of the development team to develop & maintain the data-orientated systems
Be responsible for end-to-end delivery of functionality from analysis and solution design through to implementation and release
Participate in Scrum processes and ceremonies as part of ongoing delivery
Mentor and review code of other developers
Contribute to the architectural direction of the system
Influence the overall direction of the platform
Required Experience
Proven experience building at least one of
Applications streaming large volumes (100’s GB) of data over Kafka
Large (100’s TB) data lake applications
Large (10’s TB) databases (such as relational, timeseries, OLAP)
Proven experience working with all of
Expert level .NET knowledge with few years of commercial .NET development experience (ideally C# with .NET Core 5+)
A relational database technology (for example SQL Server, Postgres, Oracle, MySQL/MariaDB)
Good development practices such as test automation, IOC, SOLID principles, Observability login and monitoring with Grafana or similar.
Desirable Experience
Kafka, Docker & Kubernetes, Observability and monitoring with Grafana
Data analysis experience
Automated continuous integration pipelines including automated deployment
Distributed & parallel programming & multithreading experience
Agile development (Scrum preferred)
Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (TFS GIT)
Unstructured database technologies (for example MongoDB)
Data orientated Azure PaaS services such as AKS, Data Lake, Synapse, Cosmos DB
Industry experience working in a commodities trading environment with knowledge of traded products and their full life cycle is desirable but not required.
Non-technical requirements
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
On-site expectations: 2-3 days per week