Data Scientist

GreenPepper; Utrecht; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Rabobank Utrecht zoekt een Data Scientist / Data Engineer om grote internationale datastromen schaalbaar te maken en te helpen bij het opsporen van witwassen en terrorismefinanciering.

Je werkdagen zijn hybride met kantoor op maandag en donderdag; 36 uur per week en een detacheringsovereenkomst. Startdatum 02-11-2026 en Einddatum 01-09-2027. Ervaring met PySpark, Python en Azure is gewenst.

Qualifications

• Minimaal 4 jaar relevante ervaring als Data Scientist of Data Engineer.
• Ervaring met PySpark en transformaties in Python.
• Master in computer science, artificial intelligence, mathematics, information studies of vergelijkbaar STEM vakgebied.
• Goede communicatieve vaardigheden en proactieve, samenwerkende houding.

Responsibilities

• Ontwikkel en onderhoud het transactiemonitoringsmodel voor internationale databronnen.
• Schrijf, optimaliseer en lever production-ready code voor grootschalige dataflowverwerking.
• Draag bij aan een monorepository en onboard nieuwe regio's naar het datasmodel.
• Stem af met data-producers over bronnen en data kwaliteit.
• Werk samen met ontwikkelaars die transactiemonitoring-logica implementeren.

Job description

Rabobank Utrecht — Data Scientist / Data Engineer

Make large international data flows scalable and help detect money laundering and terrorist financing.

• Startdatum 02-11-2026
• Einddatum 01-09-2027
• Uren p/w 36
• Standplaats Utrecht
• Geen max uurtarief
• Dienstverband Detachering
• FTE: 1.0
• Working hours: 36 or 40 hours per week
• Hybrid: Work from the office on Mondays and Thursdays; work from home on other days
• Freelance (ZZP): Not allowed

Your role

What you will do:

• Develop and maintain the transaction monitoring data model for international data sources.
• Write, optimise and deliver production-ready code to process large data flows at scale.
• Build and contribute to a monorepository and onboard new regions to the data model.
• Coordinate with data producers across the organisation about data sources and data quality.
• Collaborate with developers who implement transaction monitoring logic to ensure reliable data.

Typical day

Start with team stand-up, work on development and optimisation tasks, participate in sprint planning and occasional brainstorming sessions. During your first year you will become familiar with the team’s way of working and the data model, aiming to jointly take ownership of the data model’s technical soundness.

Requirements

Must-haves:

• At least 4 years of relevant work experience as a Data Scientist or Data Engineer.
• Experience with PySpark and data transformations in Python.
• Professional proficiency in English (Dutch not required).
• Strong communication skills, a proactive working style and ability to collaborate professionally.
• Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject.
• Ability to solve problems and critically reflect on your own work.

Nice-to-haves:

• Experience in an IT environment.
• Experience with Databricks and Microsoft Azure.
• Knowledge of medallion architecture.

Tools & technologies

• PySpark / Python
• Databricks
• Airflow
• Microsoft Azure (advantage)

Eligibility

• Language: English mandatory
• Good command of the English language is required, Dutch is not required
• All submitted candidates must be in possession of a valid Passport or ID card, which must be taken along to the interview and at the start of the assignment
• If the candidate is selected to start, a pre-employment screening will be executed
• The candidate is only allowed to start after the pre-employment screening has been completed successfully
• The candidate has to be available throughout the entire duration of the assignment