Lead Energy Analytics & Solutions

enshift AG; Düsseldorf; Hybrid; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Impact & Ownership

Flexible Working

Development & Growth

Dynamic Environment

Zusammenfassung

enshift AG is seeking a Lead Energy Analytics & Solutions to own complex techno-economic energy analyses and advance analytical capabilities behind integrated decarbonisation solutions. You will model energy flows, size and dispatch assets across PV, BESS, heat pumps, and EV charging, while developing commercial business cases for complex single-site and multi-site projects.

Based in Germany, you will collaborate across functions to challenge assumptions, optimise performance and deliver

Qualifikationen

• 5+ years of relevant professional experience in energy analytics, energy engineering, optimisation or related field.
• MSc, PhD or equivalent in Energy/Electrical/Mechanical/Process/Industrial Engineering, Physics or related quantitative discipline.
• Strong understanding of integrated energy systems, electrification and sector coupling.
• Experience with PV, BESS, heat pumps, EV charging and energy management systems is a plus.
• Strong Python skills or equivalent modelling experience; advanced Excel capabilities.
• Ability to develop techno-economic models (CAPEX, OPEX, NPV, IRR) and business cases.
• Fluent German and strong English.

Aufgaben

• Analyze electricity, heating and cooling consumption, load profiles and tariffs.
• Develop integrated energy concepts combining PV, BESS, heat pumps, thermal storage and energy management systems.
• Model energy flows hourly or sub-hourly; optimise asset sizing and dispatch across multiple technologies.
• Assess peak loads, self-consumption, grid constraints and electrification potential.
• Build and improve analytical models using the enshift platform, Python and other tools.
• Develop scenario and sensitivity analyses for single-site and multi-site customers.
• Challenge input assumptions and identify key technical and economic drivers.

Kenntnisse

Energy analytics

Python

Excel

Data analysis

Energy system modelling

Mathematical modelling

Stakeholder communication

Ausbildung

MSc/PhD in Energy/Electrical/Mechanical/Physics

Tools

Pyomo

Gurobi

MATLAB

Excel

Jobbeschreibung

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.

Tasks

• 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.

Requirements

• 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.

Benefits

• Impact & Ownership: Work on real energy projects with measurable impact and take responsibility for challenging solutions and your own topics from day one.
• Flexible Working: Benefit from flexible working hours and a hybrid working model that supports a healthy work-life balance.
• Development & Opportunity to Shape: Bring in your expertise, continue developing professionally, and actively contribute to how we improve our energy solutions, tools and processes.
• Dynamic Environment: Benefit from short decision-making paths, direct collaboration across different functions, and the opportunity to turn ideas into action quickly.