Data Engineer (m/w/d)
Core
Design, build, and maintain scalable data pipelines and cloud-based data platforms to support data-driven decision-making in the energy sector.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT processes, and cloud data solutions
Domain
Energy sector (utilities, renewable energy, infrastructure)
Deliverable
production ML models
Required skills
Python, SQL, ETL/ELT pipeline development, cloud platform experience, data modeling, data quality, data governance, Agile/DevOps practices
Preferred skills
Cloud or data-engineering certifications, experience with energy trading, renewable energy, smart meters, or energy forecasting
Technologies
Azure, Databricks, Microsoft Fabric, Azure Synapse, Snowflake
Responsibilities
Design and maintain scalable data pipelines; Develop ETL/ELT processes and data integrations; Transform complex datasets into reliable data products; Ensure data quality, reliability, security, and performance; Collaborate with Data Scientists and business stakeholders; Contribute to data-platform modernization and cloud migration; Implement automated testing and CI/CD practices
Seniority
Mid-Senior (3+ years experience)