Data Engineer specializing in AI & Power BI | Data Engineer (m/w/d)

Job Summary

This role is central to advancing the company's mission in solar energy by focusing on data infrastructure and AI integration. The Data Engineer will be responsible for building, maintaining, and optimizing ETL pipelines using SSIS and SSAS, and developing scalable on-premise Tabular models with a clear roadmap for migrating to the Cloud. A significant part of the role involves creating and managing Power BI reports, including implementing Row-Level Security (RLS) and ensuring data availability. Key requirements include a degree in computer science, statistics, or a related field, excellent SQL skills, and experience with Azure Cloud Data platforms (Data Lake, Synapse, Fabric). Candidates should also possess knowledge of Python, Machine Learning frameworks (scikit-learn, Azure ML), and ETL/ELT frameworks like ADF or dbt. This position offers the opportunity to shape the future of energy generation by deploying impactful ML solutions using cutting-edge AI services like Azure ML and OpenAI.