Data Engineer

At Orbisk, we’re on a mission to create a world where zero food waste isn’t just a dream. It’s a reality. We combine cutting-edge tech, a product that genuinely works, with a sustainability-first mindset to help the hospitality industry make smarter, greener choices. As a proud B-Corp, we’re leading the way in the fight against food waste, and our results speak volumes: over 9 million kg of food waste has been eliminated in 40+ countries (and counting!). 🌍

You’ll fully own our data infrastructure. You won't just be maintaining pipelines; you'll be architecting the foundation of an AI-native product. We process a lot of data from more than a thousand kitchens counting over 150 million pictures to date. You’ll be the one ensuring that data flows seamlessly from the edge, through our AI models, and ultimately into the hands of the operators who rely on it.

Our data ecosystem involves multiple moving parts: edge devices pushing data, AI models requiring continuous, clean training feeds, and customer-facing dashboards that demand near real-time accuracy. Getting all these components communicating flawlessly, scaling the architecture as we grow, and ensuring the whole system is rock-solid is the skill.

The good part is that you don’t have to wonder if your work matters. Every optimization you make to our data architecture translates directly into less food in the bin, lower food costs for our customers, and fewer emissions in the atmosphere.

What you will do

• Own the pipeline from end to end. You are the ultimate owner of Orbisk’s data infrastructure. If it involves how data is ingested, stored, processed, or orchestrated, it’s your domain.
• Architect for an AI-native future. You’ll own both product and internal data warehouses, upgrading the infrastructure so the team can securely build AI tools and optimize internal processes. Support building APIs and MCP servers that give customers, partners and internal tools access to our data, with proper access control.
• Design and scale on GCP. Manage our data storage, processing, and orchestration on Google Cloud Platform, ensuring absolute reliability, security, and scalability as we deploy to thousands more kitchens.
• Drive our ELT and warehousing strategy. Transform a torrent of raw data into clean, structured insights in BigQuery using Python, SQL, and Dataform.
• Collaborate across technical boundaries. Work side-by-side with our AI specialists, Software Engineers, and Data Analysts. You provide the structural foundation they need to build better models and actionable customer insights.
• Automate everything. Use Terraform and containerization to ensure our infrastructure as code is clean, reproducible, and robust.
• Keep Orbisk at the cutting edge of data innovation. We want you to tell us what tools, architectures, and AI integrations we be using as we scale.