Data Engineer

Who we are : 

  About Qover:

We are Qover, a leading insurtech scale-up that has raised $100 million. With an international team of 160+ colleagues based in Brussels and beyond, we help companies orchestrate digital embedded insurance experiences — creating meaningful connections with their community and enabling their success.

Since Qover was founded in 2016, our co-founders have had a clear vision of the future of insurance: it must be simple, transparent, and accessible across borders — a global safety net.

Our platform protects 15M+ users across 32 European countries and works with longstanding partners like Revolut, Mastercard, BMW, Canyon, and Monzo, among many others.

  .Visit our website for more about what we do! 

🚀 About the Role & Mission

At Qover, we are building the orchestration engine for the future of embedded insurance. Our data team operates with a pure engineering mindset and a strong focus on operational excellence—ensuring our international insurance programs run seamlessly on fresh, reliable data.

We are urgently seeking a Senior Data Engineer for a high-impact project. Ywill be in the driver’s seat: owning complex data financial reporting from prototyping directly into production, maintaining best-in-class engineering standards, and keeping our data architecture lean and scalable.

🛠️ The Tech Environment

• Data Warehouse: Google BigQuery
• Transformation & Ingestion: dbt, Airbyte
• Languages & Scripting: Python, SQL, Bash
• BI & Data Visualization: Looker
• DevOps & Quality: Git, Docker, CI/CD, Unit & Integration Testing
• AI-First Culture: We actively encourage leveraging AI agents to accelerate coding, testing, and deployment.

 🔑 Key Responsibilities

1. Data Financial Reporting & Pipelines

• Build, maintain, and optimize robust dbt data pipelines that power the day-to-day operations of our embedded insurance programs.
• Architect flexible data models designed to handle the nuances of insurance operations with minimal rework as new products launch.
• Streamline BigQuery data structures to eliminate redundancy and prevent data fragmentation across systems.