Enedis operates the public electricity distribution network across 95% of mainland France, managing ~1.3M km of infrastructure with 38,859 employees. The tech stack reflects dual priorities: real-time operational monitoring (Kafka, Elasticsearch, Grafana) paired with enterprise resource planning (SAP S/4HANA, Teradata, Power BI). Hiring is heavily skewed toward interns and mid-level engineering roles—consistent with scaling field operations and modernizing aging grid infrastructure rather than building new product lines.
Enedis is the state-owned operator of France's public electricity distribution network, serving the vast majority of mainland France. Core operations span network connections, maintenance, fault resolution, and supplier coordination across millions of customer touchpoints annually. The company faces simultaneous imperatives: upgrading aging aerial and underground infrastructure, integrating renewable energy and EV charging infrastructure, and maintaining supply continuity across one of Europe's largest grids. Technical workforce concentration reflects the scale of physical network operations, field maintenance, and digital transformation of grid monitoring systems.
Enedis manages the public electricity distribution network across 95% of mainland France, serving as the operator responsible for connections, maintenance, repairs, and network development across ~1.3M km of infrastructure.
Enedis operates on Kafka, Java, Spring Boot, PostgreSQL, Elasticsearch, and Grafana for real-time network monitoring; SAP S/4HANA and Teradata for enterprise operations; and Power BI, Power Automate, and Power Apps for business analytics and workflow automation.
Key challenges include upgrading aging electrical infrastructure, integrating renewable energy and EV charging infrastructure, ensuring safety on high-voltage sites, and maintaining continuity of supply across the distribution network.
Enedis'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.