Senior Data Engineer

Who we are:

We’re Qover, a leading insurtech scale-up that has raised $70 million.

Who we are:

We’re Qover, a leading insurtech scale-up that has raised $70 million.

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

• 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
• Data Governance & Quality Assurance
• Implement automated quality checks, anomaly detection, unit tests, and integration testing
• Maintain strict data security, privacy controls, clear data lineage, and precise access management for sensitive insurance and financial data
• Technical Leadership & Operations
• Partner with the broader data team to push our data warehouse architecture to the next level
• Champion best practices through code reviews, technical sharing sessions, and documentation
• Empower business stakeholders to become self-serve and data-savvy

Your Profile

Must-Haves

• 5+ years of hands-on experience in SQL and complex Data Modeling
• Proven expertise in dbt and production Python
• Strong background working with modern cloud platforms and serverless data warehouses (BigQuery highly preferred)
• Solid engineering practices: comfortable with Git, Bash, Docker, CI/CD pipelines, and writing unit/integration tests
• Pragmatic mindset: You comfortably balance architectural elegance with speed of execution to hit fast-paced business deadlines
• High degree of autonomy—able to thrive in dynamic environments with minimal supervision
• Excellent communication skills; fluent in English

Nice-to-Haves

• Master’s degree in STEM
• Professional working proficiency in Dutch
• Direct experience in FinTech, InsurTech, or financial reporting systems

What’s in it for you:

• A flexible work environment: up to three days remote per week and the ability to work from anywhere one month per year
• 28 days off (8 extra days on top of the 20 legal days)
• A nice working space in a great location in Brussels: Qover-dedicated space at WeWork (Rue du Commerce 31) with a large terrace to enjoy team events
• A positive company culture that values teamwork and taking initiative but also having fun, with regular social events
• A collaborative and communal environment where everyone is welcomed, valued and accepted regardless of their nationality, gender, age, sexual orientation, disability, philosophical or political views, etc
• The chance to work among entrepreneurial people, giving you the opportunity to learn and have a real impact at one of Europe’s fastest-growing insurtechs