Functie
Data Scientist / Data Engineer
Make large international data flows scalable and help detect money laundering and terrorist financing.
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)
Working conditions
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
Language: English mandatory
Application
Please submit your CV and a personal motivation in English.
Eisen
- Language: English mandatory
- Good command of the English language is required, Dutch is not required
- You work 36 or 40 hours per week
- You work with the team at the office in Utrecht on Mondays and Thursdays
- At least 4 years of relevant work experience
- Experience as a Data Scientist or Data Engineer
- Experience with Py
- Spark
- Professional proficiency in English
- Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject
- 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
- Candidate should be submitted exclusively to Magnit – Rabobank during the exclusivity period of 4 business days on one request
- The candidate has to be available throughout the entire duration of the assignment
Gunningscriteria
- Professional proficiency in English is required
- At least 4 years of relevant work experience is required
- Experience as a Data Scientist or Data Engineer is required
- Experience with Py
- Spark is required
- Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject is required
- Experience in an IT environment is a nice-to-have
- Experience with Databricks is a nice-to-have
- Experience with Microsoft Azure is a nice-to-have
- Knowledge of medallion architecture is a nice-to-have
Extra informatie
Je sollicitatie dient uiterlijk 9 oktober 2026 om 11:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.
