Senior Software & Data Engineer d/f/m NEW

Job description

The Methods & Tools team enables the digital transformation of RWE Offshore Wind’s Engineering department. As a Data & AI Engineer, you will design, build and scale backend applications, databases, APIs and cloud-based solutions that support engineering and renewable energy operations across RWE Offshore Wind. Working closely with Methods and Tools Product Owners and domain experts across Engineering, you will drive platform integration, data governance, AI-enabled solutions and the evolution of resilient, business-critical digital products.

About the role

• Lead the design and maintain scalable backend services, APIs, databases and cloud-native applications.
• Define and drive the integration strategy across tools and data platforms to create centralized and scalable solution frameworks that enable business growth and operational efficiency.
• Enable seamless data exchange and interoperability across functions and operating companies.
• Lead the adoption and advancement of AI-driven automation, analytics and reporting solutions.
• Strengthen data governance and maintain trusted single sources of truth.
• Scale and improve existing tools to increase resilience, reduce risk and maximize business value.
• Collaborate with Product Owners, engineers and subject matter experts to deliver high-impact solutions.
• Drive engineering excellence and best practices across design, testing, documentation and software delivery.
• Provide technical leadership, mentoring and coaching across engineering teams, fostering best practices and continuous improvement.

Job requirements and experience

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