Renewable forecasting, virtual power plant and grid integration software
emsys builds IT for integrating wind, solar and decentralized assets into power markets and grids, from forecasts to virtual power plant control. A Java/Spring and Python core with Kafka, RabbitMQ and Cassandra points to high-volume streaming of plant measurement data, and recurring job-post themes around data quality and measurement irregularities show where that pipeline strains. Hiring is engineering-heavy, Germany-only and currently slow.
energy & meteo systems, together with partner companies emsys VPP and emsys grid services, provides software and services for the market and grid integration of renewable energy. The group delivers wind and solar power forecasts and consulting, develops virtual power plants that act as control centres for distributed energy units, and offers grid operators a platform for integrating renewables into grid planning, including Redispatch 2.0. Customers include power traders, aggregators, energy suppliers, and grid and plant operators. Founded in 2004 and headquartered in Oldenburg, Lower Saxony, the group employs 201–500 people.
Its stack includes Python, Java with Spring and Hibernate, TypeScript with Vue and Aurelia, Kafka, RabbitMQ, Cassandra, PostgreSQL, MariaDB, Docker, Kubernetes, Ansible and GitLab.
Job posts point to modularizing its virtual power plant, integrating energy plants, improving measurement data quality, optimizing solar and wind forecasts, and introducing event-driven API processes.
The group is headquartered in Oldenburg, Lower Saxony, Germany, and its current hiring is focused in Germany, mainly in engineering, support and data roles.
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energy & meteo systems GmbH | emsys VPP GmbH | emsys grid services GmbH's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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