Senior Data Engineer (BigQuery | dbt | Python | Airbyte | Looker | Docker | CI/CD) - employee o[...]

Qover; Brussel Hoofdstad; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Flexible hybrid work

28 days off

Brussels WeWork space

Team events

Inclusive culture

Résumé du poste

Qover in Brussels is seeking a Senior Data Engineer to own complex data reporting from prototyping to production. You will maintain top-notch data engineering standards and keep our data architecture lean and scalable.

You will build robust dbt pipelines, design flexible data models, and streamline BigQuery structures while ensuring quality checks and strong data governance.

Qualifications

• 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: Git, Bash, Docker, CI/CD pipelines, and writing unit/integration tests.
• Pragmatic mindset balancing architectural elegance with speed to meet deadlines.
• High autonomy in dynamic environments; excellent communication; fluent in English.

Responsabilités

• Build, maintain, and optimize robust dbt data pipelines that power day-to-day operations of embedded insurance programs.
• Architect flexible data models designed to handle insurance operations with minimal rework as new products launch.
• Streamline BigQuery data structures to eliminate redundancy and prevent data fragmentation across systems.
• Implement automated quality checks, anomaly detection, unit tests, and integration testing.
• Maintain data security, privacy controls, data lineage, and precise access management for sensitive data.
• Partner with the broader data team to push our data warehouse architecture to the next level.
• Champions code quality through reviews, knowledge sharing, and documentation.
• Empower business stakeholders to become self-serve and data-savvy.

Connaissances

SQL

Data Modeling

dbt

Python

BigQuery

Git

Bash

Docker

CI/CD

Testing

Formation

Master’s degree in STEM

Outils

Airbyte

Description du poste

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 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
• DevOps & Quality: Git, Docker, CI/CD, Unit & Integration Testing
• AI-First Culture: We actively encourage leveraging AI agents to accelerate coding, testing, and deployment.
• 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.

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