About Us

The diverse range of responsibilities within the Sustainability division of SWIETELSKY AG includes, among other things, the technical conception and evaluation of photovoltaic systems and battery storage solutions at international corporate locations. To this end, energy consumption, PV generation, storage, charging infrastructure, and grid connection are analyzed to derive technical, economic, and strategic courses of action.

What to Expect

• Site Data: You will procure and verify technical site and energy data. Assumptions, open points, and results will be documented in a traceable manner.
• Energy Analyses: You will analyze load and yield profiles as well as consumption, generation, self-consumption, feed-in, and peak loads.
• Simulations: You will model and compare scenarios for photovoltaics, battery storage, charging infrastructure, and other electrical consumers.
• Variant Evaluation: You will assess solutions from both technical and economic perspectives and prepare key performance indicators for investment decisions.
• Results and Recommendations: Using existing Excel and simulation tools, you will present results clearly and derive possible courses of action.
• Project Inquiries: After onboarding, you will take on key steps—from data collection and verification to simulation and the preparation of decision-making documents. Additionally, you will support the transfer of findings to comparable sites.

What You Bring

• Ongoing technical or interdisciplinary bachelor’s or master’s degree, such as in Renewable Energies, Energy Technology, Electrical Engineering, Industrial Engineering, or Energy and Environmental Management; alternatively, a relevant technical education with practical experience.
• Basic knowledge of photovoltaics, battery storage, charging infrastructure, and energy management, as well as a solid understanding of energy and power data.
• Advanced Excel skills; experience with time series, charts, or investment calculations is an advantage.
• Independent, structured, and meticulous work approach, along with a willingness to learn and a critical approach to digital and AI-supported tools.
• Friendly, solution-oriented communication as well as excellent German and English language skills.
• Availability for two to three working days for ongoing coordination and data collection with local contacts.