Zego is a London-based motor insurer focused on commercial, fleet and new-mobility drivers, running a modern data stack of Snowflake, Apache Iceberg, Spark, Airflow and dbt alongside Kubeflow for ML. Pricing dominates the project list, from market-entry pricing to new propositions, while hiring is accelerating across support, data and product, with roles open in the UK, Canada and Portugal, pointing to geographic expansion backed by pricing and data capability.
Zego is a privately held insurtech headquartered in London, United Kingdom, with 201–500 employees. The company provides motor insurance with a focus on commercial motor, fleet and new-mobility customers, aiming to improve driver behaviour. Its engineering runs on AWS with Python, Scala, Java, Go and Kotlin, and its analytics on Snowflake, dbt and Looker. Product work spans a consumer app and native mobile SDK, and the company is hiring in the United Kingdom, Canada and Portugal.
Zego uses AWS, Python, Scala, Java, Go and Kotlin, with a data stack of Snowflake, Apache Iceberg, Spark, Airflow, dbt and Looker, plus Kubeflow for ML and Terraform and Docker for infrastructure.
Zego is hiring in the United Kingdom, Canada and Portugal, with hiring velocity accelerating across support, data, product and engineering teams.
Zego's projects center on pricing frameworks for new markets and propositions, iOS platform architecture, a native mobile SDK, the consumer app experience, product metrics dashboards and reusable AI playbooks.
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Zego's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
