About this role
Your opportunity
At Mollie, we’re on a mission to make money management effortless for every business in Europe. We started 20 years ago when we launched a more direct, affordable way for companies to get paid. That provided an alternative to the frustrating, overpriced solutions that banks offered at the time.
Today, we serve more than 250,000 businesses across Europe with an all-in-one solution that simplifies payments and money management. And we’re a 850-strong team of product, finance, support, commerce, and engineering specialists working across Europe – from Lisbon to London.
Our Engineering Graduate Program is designed to provide you with the skills, knowledge, and experience you need to succeed in a dynamic fintech environment. The 12-month program begins in September 2026 and this position includes two rotations of 6 months within our Data domain.
The data domain is focusing on making data available and accessible and supports all teams in Mollie with generating insights.
What you'll be doing
Analyse and interpret data to drive better decisions : Work closely with experienced team members to analyse and interpret data to uncover business insights that support the data domain’s objectives.
Data Modelling (dbt): Assist in maintaining and developing data models that power business intelligence. You’ll work with analytics engineers to create reliable, efficient data structures that meet business needs.
Reporting: Help build and maintain dashboards and reports (using tools like dbt, BigQuery, and Looker) that support both day-to-day operations and strategic planning.
What you'll bring
Bachelor's or Master's degree in Computer Science, Engineering, Econometrics, Maths, Science, Engineering or related quantitative field with a 2025 or 2026 graduation date.
You have an interest in working with various BI tools or SQL.
Experience working in a collaborative environment.
You are able to synthesise data into a clear story and relate those back to tangible business impact
Excellent communication skills in English, both written and verbal.
Nice to haves
Affinity for data analytics and data science (decision tree, rule-based systems, classification problems)
Our interview process consists of the following steps :
Application
Online coding test via Hackerrank
Recruitment interview via Google Meet
Technical interview via Google Meet
Final behavioural interview via Google Meet