Senior Data Engineer (employee or freelance)

Portage Ventures GP Inc.; Brussel Hoofdstad; Sur place; EUR 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Flexible remote work

28 days off

WeWork Brussels space

Team events

Résumé du poste

Qover in Brussels is seeking a Senior Data Engineer to own data finance reporting, prototyping through production, and scale our data architecture. The role emphasizes dbt pipelines, BigQuery data models, and Python-driven data work in an AI-first culture.

You will lead data governance, automated quality checks, and collaborate with the data team to deliver self-serve analytics for stakeholders. Fluent English and 5+ years in SQL and data modeling are required; Dutch is a nice-to-have.

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 of execution to hit deadlines.
• High degree of autonomy in dynamic environments with minimal supervision.
• Excellent communication skills; fluent in English.

Responsabilités

• Data Financial Reporting & Pipelines: Build, maintain, and optimize dbt data pipelines powering embedded insurance programs.
• Data Governance & Quality Assurance: Implement automated quality checks, anomaly detection, unit tests, and integration testing.
• Technical Leadership & Operations: Partner with the data team to advance data warehouse architecture and promote best practices.

Formation

Master’s degree in STEM

Outils

dbt

Python

BigQuery

Git

Bash

Docker

CI/CD

Description du poste

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 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.

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