Europe Arbeitnow ·
full-timeAnalytics Engineer
Mollie · Amsterdam
Mollie is a European payments and money‑management platform that enables businesses to receive payments, manage cash flow and grow. As an Analytics Engineer you will design, build and maintain dbt data models that transform raw transaction streams into consumable mart tables used for daily financial reconciliation. Your day will involve writing robust SQL, setting up automated data quality checks, and collaborating closely with software engineers to understand the mechanics of Mollie’s money movements. You will also work with Merchant Finance and Treasury teams to define key financial metrics, create BI dashboards and ensure the data they rely on is accurate and timely. The role requires strong SQL skills, experience with dbt and preferably familiarity with BigQuery or other GCP services, as well as the ability to communicate technical concepts to both technical and non‑technical stakeholders. Candidates with a background in fintech, banking or financial data, who are detail‑oriented, can manage stakeholder expectations and enjoy turning complex data into actionable insights, will be a good fit.
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 Build and maintain dbt data models, from raw source data to consumable mart tables, powering tooling and dashboards that monitor critical financial processes. Work closely with engineers to understand how Mollie's money movements and financial processes work to make sure you model the data correctly Partner with stakeholders across Merchant Finance &, Treasury domain to define and track key financial data, and enable daily reconciliation Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making What you'll bring Strong technical foundation in SQL; experience with data modelling and automation Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus. Ability to take a helicopter view to zoom in and out to determine what really matters Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests. Experience in financial data and financial processes is a big plus; experience in fintech and/or banking. Business-aware, impact-driven, and curious 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. Find Jobs in Netherlands on Arbeitnow
| Role | Analytics Engineer |
|---|---|
| Company | Mollie |
| Location | Amsterdam |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
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