Energy Data Engineer (w/m/d)
Core
Developing production-ready ML models for generation and consumption forecasting within a digital energy ecosystem.
Role type
Data Engineer (ML focus)
Builds
Data-driven forecasting services and energy management platforms
Domain
Renewable energy / Energy transition
Deliverable
production ML models
Required skills
Python (OOP), SQL, Time-series analysis, ETL/ELT pipeline development, Docker, Kubernetes, Cloud environments
Preferred skills
Experience with IoT sensors, ERP systems, Telemetry data, Algorithm optimization for energy communities
Technologies
Python, PostgreSQL, TimescaleDB, Docker, Kubernetes
Responsibilities
Develop ML models for generation and consumption forecasts; Design and implement ETL/ELT pipelines for heterogeneous data sources; Develop algorithms to optimize energy usage in energy communities; Migrate experimental pipelines to stable production environments; Create insights and reporting for stakeholders; Evolve data architectures
Seniority
Mid-level, hands-on IC
