Data Engineer

Mollie; Extremadura; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading fintech company located in Spain, Extremadura, is seeking a skilled Data Engineer to optimize data infrastructure and manage cloud services. The ideal candidate will have experience in Python, Terraform, and cloud platforms like GCP. This role offers the opportunity to shape the future of fintech by enhancing data governance and enabling self-service data tools. Join a dynamic team committed to innovation and personal growth in a fast-paced environment.

Servicios

Personal growth opportunities

Regular feedback and performance reviews

Transparent salary reviews

Formación

• 2–5 years of experience in Data Engineering, Platform Engineering, or Backend Engineering.
• Strong coding skills in Python with proficiency in Terraform.
• Practical knowledge of Docker and Kubernetes.

Responsabilidades

• Execute the migration of governance tooling to DataHub on GKE.
• Build self-service tooling and CI/CD pipelines for data model deployment.
• Optimize GCP infrastructure for cost and performance.

Conocimientos

Python

Terraform

SQL

Docker

Kubernetes

Data orchestration (e.g., Airflow)

Event-driven architecture

Infrastructure as Code

Herramientas

GCP

BigQuery

Pub/Sub

Google Kubernetes Engine (GKE)

Descripción del empleo

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. 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.

What you’ll ship

• 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.

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 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.

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.