data engineer food freshness

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

• Design and maintain scalable ETL pipelines and GCP cloud infrastructure to process real-time sensor data and AI predictions;
• Build and iterate on robust APIs using Python and FastAPI, managing the full product lifecycle from design to operation;
• Collaborate with the CEO and CTO to implement agentic AI tools and full-stack features that enhance the core freshness-prediction platform.

• 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;
• Nice to have: Experience in startup environments, hands-on LLM agent frameworks, deep curiosity, and a desire to solve hard problems.

• High-impact mission focused on eliminating 1/3 of global food waste;
• Enterprise contracts across Europe and North America;
• Significant growth potential and ownership in a seed-stage team of under 20 people.