Teams at Zego (zego.com)

Build and maintain scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with engineering, data science, analytics, and product teams to translate requirements, optimise architectures, and deliver the data platform. Mentor peers, promote best practices (CI/CD, testing, observability, IaC), and contribute to the data engineering roadmap.

Lead development of behavioural features and detection algorithms from hypothesis to production using high-frequency GPS and inertial sensor data. Prototype, build scalable Python and SQL pipelines, evaluate ML and rule-based models, run experiments, and collaborate with engineering, product, and actuarial teams to integrate features into pricing and measure impact.

Lead one or two engineering teams, ensuring operational excellence, influencing architecture, mentoring engineers, and collaborating with cross-functional teams to support company growth.