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Data Engineer

Portugal, Lisbon · Job Posted January 05, 2026
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Job Description

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

What we offer

  • Noise cancelling headphones
  • MacBook
  • Birthday off
  • Complimentary baby days
  • 20 days working from abroad
  • 22 holiday days
  • Commute allowance
  • Work from home budget
  • Bike lease plan
  • Internet allowance
  • Lunch voucher
  • Wellbeing program
  • Pension contribution
  • Health insurance
  • Bonus scheme
  • Equity plans
  • Referral bonus
  • Learning platform
  • Mentor program

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