Senior Data Engineer (BigQuery | dbt | Python | Airbyte | Looker | Docker | CI/CD) - employee or freelance

Qover; Brussel Hoofdstad; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible work environment

Up to three days remote per week

28 days off

WeWork Brussels workspace

Team social events

Inclusive culture

Job summary

Qover is building a data-driven insurtech platform and seeks a mid/senior data engineer to own data reporting and production pipelines. You will prototype and deploy scalable dbt data pipelines, design robust data models for insurance data, and ensure reliable data delivery to partners while aligning with strong engineering practices.

You will contribute technically across the data space, improve data governance, and guide the team in analytics and data availability.

Qualifications

• At least 3 years of experience in SQL and data modelling.
• Excellent communication and presentation skills; fluent in English; Dutch is a plus.

Responsibilities

• Develop and maintain scalable, clean data financial reports.
• Build dbt data pipelines and robust data model for insurance data.
• Ensure timely data delivery to partners and reduce data maze in BigQuery warehouse.
• Develop data governance, extensive tests, and controlled data access.
• Contribute as a technical leader in the data space and evangelize good practices.

Job description

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 mid/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.

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
• 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)
• controlled data access
• 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
• At least 3 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.

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