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Data is the lifeblood of Mollie, fueling decisions for over 250 internal users—from Product Managers to Analysts. As a Data Engineer, you will join the team responsible for the infrastructure that makes this possible. We are currently 'changing the engine while flying,' transitioning from managed services to a robust, self-hosted stack to gain more control and scalability. We have a strong fundament and we’re continuously adding new functionalities to improve our platform capabilities. You won't just be maintaining pipelines; you will be engineering the platform itself. You will work on migrating our orchestration layer to Kubernetes, implementing strict data contracts, and building the self-service tooling that empowers the rest of the company to move faster. This is a hands-on engineering role where your work directly impacts the reliability and quality of data at Mollie.
Job Responsibility:
Execute the migration of our governance tooling to DataHub on GKE (Kubernetes), giving us greater control and increase our governance capabilities
Build and improve self-service tooling and CI/CD pipelines so analysts and engineers can deploy data models independently
Enhance data observability and quality by implementing data contracts and monitoring tools to catch issues before they hit stakeholders
Develop tools and capabilities for efficient data collection, processing and consumption within the organization
Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS, GKE) for cost and performance
Requirements:
2–5 years of experience in Data Engineering, Platform Engineering, or Backend Engineering with a data focus
Strong coding skills in Python and proficiency in Terraform and SQL
Practical knowledge of Infrastructure as Code (Terraform) and containerization tools (Docker, Kubernetes)
Hands-on experience with cloud platforms (GCP is preferred, but AWS or Azure experience translates well)
A solid understanding of data orchestration tools like Airflow (or Mage/Prefect/Dagster)
Experience working in an event driven architecture
An engineering mindset: you prioritize automation, testing, and reliability over manual fixes