Data Scientist / Data Engineer

Start: 01-11-2026
End: 30-06-2027
Possible extension: YES
Hours per week: 36
ZZP not possible

Job description

You and your role As a Data Scientist/ Data Engineer, you know the secrets of scalable data processing, data transformations and production-ready code. You develop the transaction monitoring data model and connect large volumes of data from different parts of Rabobank. You combine technical expertise with clear communication. You coordinate with data producers, developers and other stakeholders in an environment of approximately 180 colleagues. “What makes this role exciting is that you work on detecting money laundering and terrorist financing while handling large volumes of data.” Hiring Manager

Summary

As a Data Scientist/ Data Engineer at Rabobank, you work on the international data model for transaction monitoring. You use PySpark, Python and Databricks to process large data flows and make them scalable. You write production-ready code and work with data producers from across Rabobank and experts who develop transaction monitoring logic. You work 36 or 40 hours per week. You work with the team at the office in Utrecht on Mondays and Thursdays. On the other days, you can work from home.

At a glance:

• Develop and improve the transaction monitoring data model.
• Work with PySpark, Databricks and Airflow.
• Connect and process large volumes of data in a scalable way.

What will you do as a Data Scientist?

• Develop and maintain the transaction monitoring data model so that global data sources can be used effectively.
• Write and optimise production-ready code to process large data flows at scale.
• Help build a monorepository and onboard new regions to the data model.
• Coordinate with data producers from different parts of Rabobank about data sources and data quality.
• Work with developers who create transaction monitoring logic and need reliable data to do so.

A typical working day might start with a stand-up with your team. You discuss progress and then continue working on your work items. In the afternoon, you plan the next sprint with the team. You may also join a brainstorming session about a new feature before continuing to develop and optimise your code. During your first year, you will become familiar with the team, its way of working and the data model. The goal is for you to work to become the owner together with the squad of the data model, and safeguards its technical soundness.

Skills, tools and areas of expertise

• Data transformations using Python/PySpark
• Databricks.
• Airflow.
• Transaction monitoring and scalable data processing.

What will I do each day as a Data Scientist?
You will develop the transaction monitoring data model, write production-ready code and optimise large data flows.
You will also coordinate with your team, data producers and developers.

Which skills, tools and technologies will I use?
You will work with PySpark, Python, Databricks and Airflow. Experience with Microsoft Azure and medallion architecture is an advantage.

Can I work in a hybrid way?
Yes. You will work at the office 2 days per week and from home on the other days. The fixed office days are Monday and Thursday. The team is temporarily based at Winthontlaan and is expected to return to Croeselaan in February.

Which team will I join, and who will I work with?
You will join a team of 9 Data Scientists, 1 Scrum Master and 1 Product Owner. You will also work with data producers from across Rabobank and developers working on transaction monitoring logic.

Requirements

What do you bring? Must-haves:

• At least 4 years of relevant work experience.
• Experience as a Data Scientist or Data Engineer.
• Experience with PySpark.
• Professional proficiency in English.
• Strong communication skills.
• A proactive way of working.
• A master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject.
• The ability to solve problems and work professionally with others.
• The ability to reflect critically on your own work and development.

Nice-to-haves:

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

Does this role match my level of experience? This role is suitable if you have at least 4 years of relevant work experience. You have experience as a Data Scientist or Data Engineer and have previously worked with PySpark.