ENERCON has been one of the technology leaders in the wind power sector for 40 years. As the first manufacturer of wind turbines, the company used a gearless drive concept that is a characteristic of all ENERCON wind turbines. ENERCON is also at the forefront in other areas, such as rotor blade design, control technology, grid connection technology, and with its wide range of technological new developments, proves its innovative strength time and again.

YOUR QUALIFICATIONS

• Degree in Computer Science, Engineering, Natural Sciences, or a related field
• Strong programming skills in Python and experience with object-oriented design (e.g., C#, Java)
• Proficiency in Linux, shell scripting, and containerization (Docker, Kubernetes)
• Experience with data interfaces and query languages (REST, SQL) and processing systems (Kafka, Spark, Flink)
• Familiarity with MLOps tools and practices (e.g., MLflow, model versioning, CI/CD)
• Interest for development of cloud data solutions, especially with DataBricks
• Passion for agile development, clean software engineering, and enabling data-driven innovation

• Develop and manage hybrid data architecture across Azure and on-prem environments with wind industry data – from operational data of wind farms, over digital twin data, towards external wind, market, and GIS data
• Collaborate with data scientists to deploy robust, scalable machine learning solutions
• Define use-case-specific data architectures and contribute to the design of our future data landscape
• Ensure data governance, orchestration, and automation using tools like Airflow, GitLab, and Azure DevOps
• Lead R&D projects in data management and support the full lifecycle of data products – from ideation to operation