Senior Data Engineer (employee or freelance)

🚀 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.