Data Engineer

Company Description EDF is a major energy company leading the transition toward a more affordable and sustainable electric future in the United Kingdom. The organization has supplied low-carbon electricity to UK homes through its nuclear power stations for over 50 years and is currently building a new nuclear project at Hinkley Point C. EDF is also investing in wind, solar, and battery storage technologies, and supports customers in electrifying homes and businesses with low-carbon solutions such as heat pumps and electric vehicles. Team members join a mission-driven environment focused on building, powering, and enabling an Electric Britain while contributing to meaningful, long-term energy transformation.
Role Description This full-time Data Engineer role is based in the London Area, United Kingdom, with a hybrid working arrangement that allows some work from home. The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and operational systems across the business. Day-to-day tasks include collaborating with product, analytics, and engineering teams to understand data needs, implementing data models and warehousing solutions, and ensuring data quality, security, and performance. The role also involves optimizing existing data workflows, documenting data architecture, and contributing to best practices for data governance and metadata management. The successful candidate will help enable data-driven decisions that support EDF’s low-carbon and innovation-focused initiatives.
Qualifications

• Strong data engineering skills, including experience with Data Engineering and Data Warehousing tools and frameworks.
• Proficiency in Data Modeling and designing scalable, resilient data architectures for analytical and operational use.
• Hands-on experience with Extract Transform Load (ETL) processes and ETL orchestration tools to move and transform data efficiently.
• Ability to perform Data Analytics, including querying, aggregating, and interpreting data to support business insights.
• Practical experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java).
• Familiarity with cloud data platforms and services (e.g., Azure, AWS, or GCP), and modern data stack technologies (e.g., Spark, Kafka, dbt).
• Understanding of data governance, data security, and regulatory considerations relevant to the energy sector.
• Strong problem-solving skills, attention to detail, and the ability to collaborate effectively in cross-functional, hybrid teams.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Experience in energy, utilities, or similarly data-intensive industries is beneficial but not required.