Lead Energy Analytics & Solutions

enshift develops, finances and delivers integrated decarbonisation solutions for commercial, industrial and public-sector customers.

We go beyond individual technologies. Our approach combines solar PV, battery energy storage systems (BESS), heat pumps, heating & cooling, thermal storage, eMobility and intelligent energy management into integrated energy systems that are technically robust and commercially viable.

Our analytics platform allows us to transform complex site, consumption, infrastructure and market data into optimised decarbonisation concepts and investment-ready business cases.

We are looking for a Lead Energy Analytics & Solutions to take ownership of complex techno-economic energy analyses and help further develop the analytical capabilities behind our solutions.

• Analyse electricity, heating and cooling consumption, load profiles, tariffs, generation assets and site infrastructure.
• Develop integrated energy concepts combining PV, BESS, heat pumps, heating & cooling, thermal storage, EV charging and energy management systems.
• Model energy flows at hourly or sub-hourly resolution.Optimise asset sizing, dispatch and interaction across multiple technologies.
• Assess peak loads, self-consumption, grid constraints, flexibility and electrification potential.
• Build and improve analytical and optimisation models using the enshift platform, Python and other relevant tools.
• Develop scenario, sensitivity and optimisation analyses for complex single-site and multi-site customers.
• Challenge input assumptions and identify the key technical and economic drivers of each solution.

• 5+ years of relevant professional experience in energy analytics, energy engineering, optimisation, consulting or a related field.
• MSc, PhD or equivalent degree in Energy Engineering, Mechanical Engineering, Electrical Engineering, Process Engineering, Industrial Engineering, Physics or a related quantitative discipline.
• Strong understanding of integrated energy systems, electrification and sector coupling.
• Practical experience with several of the following technologies: solar PV, BESS, heat pumps, heating & cooling, thermal storage, EV charging and energy management systems.
• Strong quantitative skills and experience analysing large time-series datasets, energy consumption and load profiles.
• Strong Python skills or equivalent programming/modelling experience, combined with advanced Excel capabilities.
• Ability to develop techno-economic models and commercial business cases, including CAPEX, OPEX, NPV, IRR and sensitivity analysis.
• Ability to work independently on complex analytical problems and translate results into clear technical and commercial recommendations.
• Fluent German and strong English.

Strong advantages: experience with energy-system optimisation, MILP, Pyomo, Gurobi, MATLAB or similar tools; BESS dispatch and flexibility markets; German electricity tariffs and grid charges; PPAs, energy contracting or Energy-as-a-Service models; and B2B/B2G energy infrastructure projects.