Data Engineer

Posted Yesterday
Be an Early Applicant
Amsterdam
In-Office
Mid level
Fintech • Payments • Software • Financial Services
The Role
As a Data Engineer at Mollie, you will build and optimize data pipelines, migrate systems to Kubernetes, and enhance data quality and observability.
Summary Generated by Built In

Build with us

Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.

Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.

We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver.

If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.

Your impact

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.

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.

What you'll ship

  • Execute the migration of our orchestration layer from fully managed Cloud Composer to Airflow on GKE (Kubernetes), giving us greater control and scalability.

  • Build and improve self-service tooling and CI/CD pipelines (using GitHub Actions) 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.

  • Retire legacy systems (such as our old event tracking system and Looker instance) to streamline our tech stack.

  • Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS) for cost and performance using Terraform.

What you'll bring

  • 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 SQL.

  • Hands-on experience with cloud platforms (GCP is preferred, but AWS or Azure experience translates well).

  • Practical knowledge of Infrastructure as Code (Terraform) and containerization tools (Docker, Kubernetes).

  • A solid understanding of data orchestration tools like Airflow (or Mage/Prefect/Dagster).

  • An engineering mindset: you prioritize automation, testing, and reliability over manual fixes.

Grow your way

At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.

You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.

No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way.

Unlock your full potential and join us to eliminate financial bureaucracy

If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. Apply with your CV (in English) using the form below.

Want a peek behind the scenes? Check out what life at Mollie is really like.

AI at Mollie

We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day

AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us.


Top Skills

Airflow
Docker
GCP
Github Actions
Kubernetes
Python
SQL
Terraform
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The Company
HQ: Amsterdam
904 Employees
Year Founded: 2004

What We Do

Mollie offers a single platform for businesses to get paid and manage their money. One that makes payments, reconciliation, reporting, fraud prevention, and financing simple for all – from startups to enterprises.

Founded in 2004, Mollie’s mission is to make payments and money management effortless for every business in Europe. Our 750-strong team works from offices across the continent, including Amsterdam, Ghent, Lisbon, London, Maastricht, Milan, Munich, and Paris.

Today, more than 250,000 businesses use Mollie to drive revenue, reduce costs, and manage funds.

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