Who we are : We are Qover, a leading insurtech scale-up that has raised $100 million. With an international team of 160+ colleagues based in Brussels and beyond, we help companies orchestrate digital embedded insurance experiences — creating meaningful connections with their community and enabling their success.
Since Qover was founded in 2016, our co-founders have had a clear vision of the future of insurance: it must be simple, transparent, and accessible across borders — a global safety net.
Our platform protects 15M+ users across 32 European countries and works with longstanding partners like Revolut, Mastercard, BMW, Canyon, and Monzo, among many others. .Visit our website for more about what we do! About the role
In the Qover data team, we are engineers at heart with a strong focus on operations. We are supporting the executions of our insurance programs on a daily basis by ensuring that all our partners have access to fresh and reliable data.
We are seeking a Senior Data Engineer to strengthen our data capabilities. You will be in the driver's seat for implementing data reports, from prototyping to production, while always ensuring that your technical solutions align with the best engineering practices.
Our data stack (high-level): Airbyte - BigQuery - dbt - python - Looker
Your tasks and responsibilities
Your main objective is to develop and maintain scalable and clean data financial reports to support the launch and execution of our insurance programs. We expect you to:
develop, maintain and improve our dbt data pipelines that support the day-to-day operations of our embedded insurance programs
propose and implement a robust data model that can cope with the specificities of insurance data and require little modification to support the launch of the new products
make sure that the data is delivered timely to our partners
run quality assurance checks to ensure data consistency across data deliverables leverage synergies across our data sources to limit the number of tables in our BigQuery data warehouse, and avoid that our databases turn into a data maze
Further develop our data governance through
extensive testing ( data tests, unit tests, anomaly detection)
sufficient data documentation controlled data access clear data lineage
make sure that our partners' data stay secure and private, one of our top priorities In addition, you will be a key technical contributor to the data space at Qover. You will leverage your expertise on various topics to:
Push our data architecture to the next level. This includes a constant review of our data model and data warehouse design.
Upskill the team by evangelizing good practices through code reviews and dedicated sessions
Educate and help business users to become data-savvy
Your qualifications
At least 5 years of experience in SQL and data modelling
Master's degree in STEM is preferred but not a hard requirement
Leverage AI agents to speed-up code development, testing and delivery
Experience in dbt is highly desirable
Fluent in python
You are familiar with the modern data stack
Experience with git, bash, CI/CD and docker
You have already delivered software products with unit and integration tests You have experience working with cloud services, and more specifically with serverless data warehouses.
Excellent communication and presentation skills and fluent in English
Proficiency in Dutch is a plus
While you always want to keep up with market trends and best practices, you are also pragmatic. You feel comfortable trading technical elegance to be able to speed up the pace of delivery
Willing to work in fast-paced environment and able to cope with time pressure
Autonomous, you are also hands-on with a strong team spirit
You are proactive and self-driven. You need minimal supervision and welcome changes. You are comfortable dealing with ambiguity.