Responsibilities Design, build, and maintain scalable batch and streaming ETL data pipelines on cloud platforms (Databricks), using PySpark or Scala Develop new features, support maintenance, performance optimization, and continuous improvement of the data landscape Ensure data quality, integrity, and consistency across pipelines and datasets and implement monitoring, alerting, and observability for data infrastructure Work closely with data scientists, analysts, architects and business stakeholders to deliver fit-for-purpose data models Write clean, efficient, and maintainable code in line with established technical and quality standards Document pipelines, data contracts, and lineage; ensure compliance with data governance standards Continuously improve development processes by contributing ideas and feedback in retrospectives Act as a technical expert and provide guidance to junior and external developers in wind farm data initiatives Requirements Technical degree in Computer Science, Software Engineering, or a comparable field, or equivalent practical experience Minimum of 3-5 years of professional experience in data engineering, software development, or data platform environments Practical experience with cloud-based data architectures and large-scale data processing Solid programming skills in PySpark or Scala applied to data pipelines and analytics workflows Structured and analytical way of working with the ability to communicate technical topics clearly to diverse stakeholders Very good English skills, with German or Spanish considered an advantage. #J-18808-Ljbffr
