Analytics Engineer

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