data engineer for real-time freshness prediction
Summary
Data engineer building scalable ETL pipelines and APIs on GCP for a startup that predicts food freshness in real time using gas sensors and AI.
Описание
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.
Задачи
- 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.
Требования
- 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.
Условия
- Equity
- London, UK