> Markdown version of [/jobs/ext/3908811-working-student-battery-data-analytics](https://www.wearedevelopers.com/jobs/ext/3908811-working-student-battery-data-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Working Student | Battery & Data Analytics - **Company:** TWAICE - **Location:** München, Germany - **Salary:** €33,280.0 - €37,440.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Python (Programming Language), Operational Data Store, SQL Databases, Data Streaming, Data Analytics, Data Pipelines, Databricks - **Published:** October 25, 2026 - **Apply:** https://www.adzuna.de/details/5939160276 ## About the Role * Studying engineering, physics, data science, or a related field * Basic understanding of batteries and a passion for renewables * Confident using Python to clean, transform, and analyze data * Curious, proactive, and hands-on when solving problems * Bonus: experience with BESS, Databricks, SQL, or AWS ## Description As renewable energy reshapes the global power system, batteries are taking center stage. Making them safe, reliable, and bankable at scale is a defining challenge of the energy transition. At TWAICE, our software turns battery data into insights - so decisions are made with confidence, not guesswork. We're accelerating the transition into a new energy era and we're looking for those who want to move fast with us. As a Working Student | Battery & Data Analytics (m/f/d), you'll work hands-on alongside experienced data and engineering professionals, right at the intersection of data and real-world impact. You'll help evaluate and improve the performance and safety of battery energy storage systems used around the globe - all while getting real exposure to live operational data and the technology powering our platform. Working hours are flexible (especially around exam periods). Ideally, you're available around 20 hours per week and able to come into our central Munich HQ on a regular basis. Your daily business will involve Bringing new projects onto our platform * Connecting data from operational battery storage sites to the TWAICE cloud * Building digital twins of BESS in our data model * Running data quality checks so the data our analyses rely on is solid Analyzing real-world battery systems on demand * Making sense of power and data flows in battery energy storage systems * Running big-data analyses, using AI tools and techniques, to evaluate the performance and safety of BESS around the globe Shaping our analytics * Contributing to the development of TWAICE's algorithms and data pipelines * If you're interested, joining customer meetings to see how your analyses make a difference