International jobs in the Netherlands

Data Scientist / Data Engineer | Python, PySpark & Databricks | Financial Crime Prevention

Are you an experienced Data Scientist or Data Engineer looking to work with large-scale data in a complex financial environment? We are looking for a professional with strong Python, PySpark and Databricks experience to join a leading financial institution in the Netherlands. You will work on business-critical data solutions supporting transaction monitoring and financial crime prevention, collaborating with an experienced technical team in a hybrid working environment.

As a Data Scientist / Data Engineer, you will be responsible for developing and maintaining scalable data models that process large volumes of international financial data. Your work will directly support the detection of suspicious transactions, money laundering and other financial crime.

About the role

You will join an Agile team of Data Scientists and Data Engineers responsible for delivering reliable, production-ready data solutions. Working closely with developers, data producers and other stakeholders, you will ensure that complex data flows are accurate, efficient and scalable.

You will:

• Develop and maintain scalable data models supporting transaction monitoring and financial crime detection.
• Build, optimise and maintain production-ready data pipelines using Python, PySpark and Databricks.
• Integrate data from multiple sources, ensuring data quality, reliability and consistency.
• Develop and maintain a monorepository to support continuous improvements to the data model.
• Collaborate with technical teams and stakeholders to translate business requirements into effective data solutions.
• Identify opportunities to improve data processing performance, code quality and overall platform scalability.

This is a 40-hour-per-week opportunity offering hybrid working, technical ownership and the chance to contribute to meaningful projects within the financial services sector.

Who are you?

• Master's degree in Computer Science, Artificial Intelligence, Mathematics, Information Studies or a related STEM discipline.
• Minimum 4 years of relevant experience as a Data Scientist or Data Engineer.
• Strong hands-on experience with Python and PySpark.
• Experience with Databricks and large-scale data processing.
• Proven experience developing production-ready code and scalable data transformations.
• Strong understanding of data modelling, data quality and pipeline optimisation.
• Excellent analytical, problem-solving and communication skills.
• Proactive, collaborative and comfortable working with multiple technical stakeholders.
• Experience in banking, transaction monitoring or financial crime prevention is an advantage.

About Levy Global

Levy Global is a specialist consulting and recruitment partner supporting technology professionals across the UK, Europe and North America. Since 2000, we have helped people build careers across data and AI, cloud, cybersecurity, infrastructure, enterprise systems, software development and business change.

We work with scale-ups and global organisations, connecting talented people with projects and roles where they can make an impact. Our strength has always been the way we support people, from first conversation through to placement, onboarding and beyond.