Freelance Data Engineer
Senior Data Engineer wanted in Belgium (hybrid) strong experience with SQL, Python, dbt & BigQuery?
For an international organization active within embedded insurance, we are urgently looking for a Senior Data Engineer for an impactful project.
As a Senior Data Engineer, you will play a key role within the data team. You are responsible for designing, building, and optimizing complex data processes and financial reports — from initial prototype to a stable production environment.
You work from a strong engineering mindset, with a high focus on quality, scalability, security, and operational excellence. At the same time, you will receive a lot of autonomy and space to make technical choices and further improve the data architecture.
Role
Technical environment
- Data Warehouse: Google BigQuery
- Data Transformation & Ingestion: dbt, Airbyte
- Programming & scripting: Python, SQL, Bash
- BI & Data Visualization: Looker
- DevOps & Quality: Git, Docker, CI/CD
- Testing: Unit testing & integration testing
- AI-first culture: active use of AI-agents to accelerate development, testing, and deployment
Your responsibilitiesData, financial reporting & pipelines
- Designing, building, maintaining, and optimizing robust dbt data pipelines
- Developing flexible data models that can grow with new insurance products
- Setting up and improving complex financial reports
- Developing data solutions from prototype to production
- Optimizing BigQuery structures and reducing redundancy and data silos
Data governance & quality
- Implementing automated quality controls and anomaly detection
- Writing and maintaining unit and integration tests
- Monitoring data security, privacy, and access management
- Ensuring clear data lineage and reliable financial and operational data
Technical leadership & operations
- Collaborating with the broader data team on the further development of the data architecture
- Promoting best practices through code reviews, documentation, and technical knowledge sessions
- Supporting stakeholders to use data more independently and effectively
- Contributing to a scalable, efficient, and future-proof data environment
ProfileMust-haves
- At least 5 years of hands-on experience with SQL and complex data modeling
- Strong experience with dbt and Python in production environments
- Experience with modern cloud platforms and serverless data warehouses; BigQuery is a strong plus
- Good knowledge of Git, Bash, Docker, and CI/CD
- Experience with unit testing and integration testing
- A pragmatic engineering mindset: you know how to combine quality and architecture with speed
- You enjoy working independently and taking ownership of your projects
- Strong communication skills
- Fluent English
Nice-to-haves
- Master's degree in STEM
- Professional working knowledge of Dutch
- Experience within FinTech, InsurTech, or financial reporting systems
Contact person
Listed by the employer in the job posting — for questions and your application.
- Victor Hamoir