Senior Data Engineer (employee or freelance)

**Who we are:**

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

With an international team of 160+ colleagues based in Brussels, we help companies orchestrate digital embedded insurance experiences.

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

We’re well on our way to building that safety net, with a platform that protects millions of users across 32 European countries. We work with top brands like Revolut, Mastercard, BMW, Canyon, Monzo and many others.

Visit [our website](http://www.qover.com/) 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.

**2. 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.

**3. 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.