data engineer for real-time freshness prediction

BlakBear is an Imperial College London spin-out building advanced gas sensors and AI that predict food freshness in real time, replacing printed use-by dates across the supply chain.

• Design and maintain scalable ETL pipelines and GCP cloud infrastructure for real-time sensor data and AI predictions;
• Build and iterate on robust APIs using Python and FastAPI across the full product lifecycle from design to operation;
• Collaborate with the CEO and CTO to implement agentic AI tools and full-stack features for the freshness-prediction platform;
• Own the back-end infrastructure and data strategy;
• Build scalable GCP pipelines, design high-performance APIs, and develop full-stack solutions.

• 2–8 Years of experience in software or data engineering;
• Strong mastery of Python for production-grade services;
• Proven track record of building and shipping full-stack applications;
• Experience maintaining automated CI/CD pipelines;
• Deep curiosity and desire to solve hard problems;
• Nice to have: Startup experience, hands-on LLM agent frameworks.

• Equity;
• London, UK.