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.