The Operations and Systems Engineering team in Supply Chain develops processes and systems for reliable, efficient flow of direct materials to Tesla's factories, distribution centers, service locations, and installation sites. As a Supply Chain Systems & Data Engineer, you will partner with planning, logistics, warehousing, and other stakeholders worldwide to deliver operational improvements, systems capabilities, and data insights that support growing production volume and fleet size.
This is the team's first dedicated data-heavy role. You will own the data — what matters, why, how to source it, and how to keep it true over time. The interactive data reports, data apps, AI agents, and pipelines you deliver are the visible outputs; the underlying work is metric definition, lineage, snapshot history, and partnering with Tesla's IT teams to extend the data lake where required attributes don't yet exist.
You will be a thought leader in designing solutions and own execution end-to-end. The role requires deep subject matter knowledge across supply chain processes, systems, and KPIs; the ability to think strategically while staying comfortable in the details; and the capacity to manage multiple highly visible projects at global scale. It suits a self-motivated, driven individual who thrives in a fast-paced environment.
Based at Giga Berlin and anchored on EMEA Service Material Planning day-to-day, with reach across the team's broader EMEA and global scope alongside North America counterparts.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
