Ingenieur Energietechnik als Domain Data Engineer - Next Generation Control Center Ecosystem (w/m/d)
Core
Design, implement, and operate automated data pipelines and data products for forecasting and planning within the Next Generation Control Center Ecosystem to ensure a secure and stable power grid.
Role type
Domain Data Engineer (Energy Grid)
Builds
Production data pipelines, forecasting and planning data products, and quality-assured prognostic deliveries for grid operation.
Domain
Energy sector, power grid control, forecasting and planning
Deliverable
production ML models | product features
Required skills
Python, SQL, data pipeline design, data integration, machine learning lifecycle (inference, validation, monitoring), data quality assurance, ETL/ELT frameworks, CI/CD, containerization (Docker, Kubernetes), cloud platforms (Azure)
Preferred skills
Common Information Model (CIM), Common Grid Model Exchange Standard (CGMES), UCTE data formats, streaming architectures (Apache Kafka), power flow calculations, network analysis tools (PowerFactory, pandapower, Integral, Neplan)
Responsibilities
Develop and maintain data products in the Forecasting and Planning Data domain, provide quality-assured prognostic deliveries and high calculations for downstream processes, prepare data for publication, collaborate with system operation specialists to analyze and integrate internal and external data requirements, contribute to components in the machine learning lifecycle including inference and input data validation, evolve existing data integration processes and methodologies.
Seniority
Mid-Senior, hands-on IC