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# Lead Energy Analytics & Solutions

- **Company:** enshift AG
- **Location:** Düsseldorf, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Python (Programming Language), MATLAB
- **Published:** August 27, 2026
- **Apply:** https://www.adzuna.de/details/5855436367

## About the Role

* 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.

## Description

* 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.


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