Data & AI Engineer

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. \n

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters \n

As a global leader, RWE Offshore Wind is shaping tomorrow’s energy on the high seas. We are active across Europe, Japan and Korea. We have already 18 wind farms in operation with an installed capacity of over 3 gigawatts. With over 20 years’ experience in developing, building, operating and maintaining offshore wind farms we have established long-term partnerships, working hand in hand with local businesses and communities. Every year, we invest millions of euros in new offshore wind projects and support harbours, educational programmes, local organisations and more. Our passionate workforce is committed to driving technological and sustainable improvements, delivering construction projects on time and within budget to the highest quality and safety standards, and contributing to the energy world of tomorrow. \n

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.\n
• 5+ years of experience in backend, software, or data engineering roles, with strong Python and REST API skills.\n
• Experience with SQL databases; knowledge of NoSQL and vector databases is beneficial.\n
• Experience with Azure or comparable cloud platforms, including containerized applications using Docker and Kubernetes.\n
• Experience with modern data platforms, preferably Databricks, including Lakehouse architectures, Lakebase, and Databricks Asset Bundles.\n
• Experience building AI applications using LLMs, agents, RAG, and workflow orchestration frameworks.\n
• Experience with Git, CI/CD, automated testing, and agile software development.\n
• Strong analytical, problem-solving, and communication skills, with experience in complex enterprise environments and fluency in English.\n

• Design and maintain scalable backend services, APIs, databases and cloud-native applications. \n
• Integrate tools and data platforms to create centralized and scalable solution frameworks. \n
• Enable seamless data exchange and interoperability across functions and operating companies. \n
• Support AI-driven automation, analytics and reporting solutions. \n
• Strengthen data governance and maintain trusted single sources of truth. \n
• Scale and improve existing tools to increase resilience, reduce risk and maximize business value. \n
• Collaborate with Product Owners, engineers and subject matter experts to deliver high-impact solutions. \n
• Ensure high quality through testing, documentation and modern software engineering practices. \n

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