ToysReloved is building the circular future of play. We give pre-loved toys a second life by combining technology, automation, and craftsmanship. Our goal is to make sustainable choices easy, affordable, and scalable through data-driven automation and smart product workflows. We are now looking for a Data & Automation Engineer who wants to help us build the data backbone of a circular e-commerce platform that connects toys, families, and impact. Tasks Maintain and expand n8n workflows for product grading, description, pricing, and marketplace integration. Support and extend the ToyBase data model (Postgres), ensuring clean interfaces with Bubble. Build and maintain Python scripts for scraping, data cleaning, and benchmarking. Integrate e-commerce APIs (Shopify, Amazon, refurbed, Kleinanzeigen, etc.). Ensure data quality, validation, and benchmarking using existing frameworks. Work closely with graders and operations teams to reduce product creation time through smart automation. Requirements Strong skills in Python for data processing and API integration. Experience with n8n or similar workflow automation tools. Understanding of data modeling and database management (Postgres preferred). Ability to structure and validate data (JSON schemas, test frameworks). Familiarity with modern AI-assisted coding tools (e.g. Claude, Copilot, Cursor). Hands-on mindset, able to translate business needs into automation. Optional but valued: experience with Next.js, Bubble.io, or Shopify integrations. Proficiency in English or German. Benefits Chance to shape the data and automation layer of ToysReloved at a key scaling stage. Work in a team driven by sustainability, curiosity, and collaboration. Hybrid work setup (remote and Berlin-based). Competitive compensation, with an optional equity component.