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Design, build, and maintain dbt data models and pipelines that transform raw financial data into consumable marts, plus implement data quality checks and monitoring.
Strong SQL and dbt expertise, experience with data modeling (BigQuery/GCP and Airflow a plus), and ability to work with both technical engineers and finance stakeholders; fintech or financial data background is a plus.
Accurate data models enable daily reconciliation of Mollie's books and ensure trust in critical financial processes that power payments for hundreds of thousands of businesses.
Someone who enjoys bridging technical and business worlds, can manage stakeholder expectations, and thrives on ensuring data integrity in a fast‑moving fintech environment.
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Mollie has an important role and responsibility in the financial ecosystem, handling customer funds with a high degree of diligence and scrutiny. The financial services domain sits at the core of Mollie, it orchestrates all money movements to power all of Mollie's financial products.
Analytics engineering plays an important role in this ecosystem, as these core financial processes handle massive, complex volumes of data originating from different internal systems. By establishing robust data pipelines, maintaining automated data quality checks, and fostering deep collaboration with cross functional partners in Engineering and Treasury & Merchant Finance, the Analytics Engineering team ensures full data integrity and enables the daily reconciliation of Mollie's books.
You will be working on creating and maintaining critical data assets that enable Mollie to reconcile their books. This involves creating and maintaining solid dbt data models from raw source data to consumable mart tables. You will play a part in creating and maintaining tooling to visualize and report the required data, mostly in our BI tooling that makes it easy for the end user to extract the required data. To do this, you will be working closely with engineers to understand the inner workings of Mollie's money movements and, most importantly, get the correct data. You will also be collaborating with Merchant Finance & Treasury to make sure they can do daily reconciliation in our BI tooling.
What you'll ship
What you'll bring
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.
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.
Mollie
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