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 C ontribute 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. 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