Data Engineer (m/w/d)
Core
Design, build, and maintain scalable data pipelines and cloud-based data platforms to support data-driven decision-making and the energy transition.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT processes, and cloud-based data solutions
Domain
Energy sector (utilities, renewable energy, infrastructure)
Deliverable
production ML models | product features
Required skills
Python, SQL, ETL/ELT pipeline development, cloud platform experience, data modeling, data quality, data governance, CI/CD practices
Preferred skills
Azure, Databricks, Microsoft Fabric, Snowflake, energy sector domain knowledge, cloud/data-engineering certifications
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; Build and maintain cloud-based data solutions; Ensure data quality, reliability, security, and performance; Collaborate with Data Scientists, Analysts, and Architects; Contribute to data-platform modernization and cloud migration projects; Implement automated testing and CI/CD practices
Seniority
Senior, hands-on IC
