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Mollie is a European fintech company serving 250,000+ businesses with payment and money management solutions. The Analytics Engineering team plays a critical role in the financial ecosystem, ensuring data integrity across complex money movement processes and enabling daily reconciliation of Mollie's books.
In this role, you will build and maintain dbt data models that power financial dashboards and monitoring systems. You'll work closely with engineering teams to understand Mollie's money movement architecture and translate that into accurate data models. You'll partner with Merchant Finance and Treasury stakeholders to define key financial metrics and enable self-service reconciliation through BI tooling. You'll also implement data quality validation checks and proactive monitoring to ensure high trust in financial data used for decision-making.
Key responsibilities:
- Build and maintain dbt data models from raw source data to consumable mart tables
- Collaborate with engineers to understand financial processes and ensure correct data modeling
- Partner with Merchant Finance and Treasury teams to define and track key financial data
- Implement data quality validation checks, testing frameworks, and monitoring
- Create and maintain BI tooling and dashboards for financial reconciliation
Mollie operates with small, autonomous teams across 14+ locations with 950+ employees. The company emphasizes ownership, craft, and a balanced work environment. Growth is personal—the company supports skill development, internal mobility, and career progression through regular feedback and transparent salary reviews.
REQUIREMENTS:
- Strong technical foundation in SQL with experience in data modeling and automation
- Strong proficiency with dbt
- Experience with BigQuery/GCP and Airflow (preferred)
- Ability to take a helicopter view and zoom in to determine what matters
- Skilled at stakeholder management across technical and non-technical teams; willingness to challenge senior stakeholders
- Experience in financial data and financial processes (preferred); fintech or banking background (preferred)
- Business-aware, impact-driven, and curious mindset
