Integrated biomethane project developer, builder, and operator across France
KEON operates a full-stack biomethane business spanning project development, unit construction, ongoing operations, and feedstock sourcing. The tech stack—Python, TensorFlow, PyTorch, scikit-learn across Azure, AWS, and GCP—is unusual for a 20-year-old industrial group and suggests active ML deployment around production optimization and site performance modeling. Hiring is ops-heavy (25 of 43 roles) and accelerating, with a manager-tier focus, indicating expansion of operational footprint rather than technology platform buildout.
KEON is a French industrial group founded in 2005 and built around four interconnected business units: Ter'Green (project development and co-financing of biomethane plants), Naskeo (engineering and construction of anaerobic digesters), Sycomore (operations and maintenance), and Teikei (organic feedstock sourcing). The company serves mid-market and industrial customers across France and Germany seeking to build or operate biomethane production capacity. With ~100 employees spanning energy engineers, agronomists, biologists, civil engineers, and technicians, KEON positions itself as a vertically integrated partner handling biomethane projects from feasibility through long-term operations. Current project focus includes new site development, acquisition of existing facilities, and optimization of operational performance.
Python, TensorFlow, PyTorch, scikit-learn for analytics; Azure, AWS, GCP for cloud infrastructure; AutoCAD, SolidWorks, Revit for design; Git and GitHub Actions for version control.
France and Germany. Hiring velocity is accelerating, with manager-level roles (17 of 43) predominating.
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