Data Scientist / Data Engineer

Fitura; Utrecht; On-site; EUR 90,000 - 130,000; Full time

Job summary

Fitura is seeking a Data Scientist / Data Engineer in Utrecht, Netherlands to develop and optimize the international data model for detecting money laundering and financing activities. You will work within a cross-functional team to connect large data flows, build scalable pipelines, and onboard new regions into a central monorepository.

The role requires a Master’s in a STEM field, 4+ years of relevant experience, strong PySpark production experience, and excellent English communication.

Qualifications

• Master's degree in a STEM field (CS/AI/Math/Info Studies)
• 4+ years of relevant experience as Data Scientist or Data Engineer
• Proficiency in PySpark and production-grade data transformations
• Professional English communication and interpersonal skills

Responsibilities

• Data model development for international transaction monitoring across global sources
• Build and optimize scalable data pipelines using PySpark, Python, Databricks and Airflow
• Coordinate with data producers and support developers building transaction monitoring logic
• Contribute to monorepository structure and onboard new regions into the data model framework

Skills

PySpark

Python

Data pipelines

Databricks

Airflow

English fluency

Education

Master's degree (CS/AI/Math)

Tools

Databricks

Job description

For one of our market leading clients in Utrecht, I'm recruiting for Data Scientist / Data Engineer.

As a Data Scientist / Data Engineer, you play a critical role in developing and optimizing the international data model used to detect money laundering and terrorist financing across global clients. Operating within a multidisciplinary team (9 Data Scientists, a Scrum Master, and a Product Owner) in an environment of approximately 180 colleagues, you combine technical data engineering expertise with strong communication to connect large data flows, build scalable pipelines, and onboard new regions to a central monorepository.

Key Responsibilities:

• Data Model Development: Develop, maintain, and expand the international transaction monitoring data model so that global data sources can be utilized effectively.

• Scalable Pipeline Engineering: Write and optimize production-ready code using PySpark, Python, Databricks, and Airflow to process massive data flows at scale.

• Stakeholder & Producer Coordination: Partner closely with data producers across the enterprise regarding data sources and quality, while supporting developers who create transaction monitoring logic.

• Monorepository & Onboarding: Contribute to building and maintaining a monorepository structure and onboard new international regions into the data model framework.

Your Deliverables:

• Scalable, robust production code and data transformations powering the international transaction monitoring data model.
• Expanded regional data integrations within the central monorepository.
• Optimized data pipelines leveraging Databricks, PySpark, and Airflow.

Your Profile:

• Education (Hard Requirement): Master's degree in Computer Science, Artificial Intelligence, Mathematics, Information Studies, or a comparable STEM subject.

• Experience (Hard Requirements):

  • Minimum of 4 years of relevant professional experience as a Data Scientist or Data Engineer.
  • Demonstrable hands-on experience with PySpark and production-grade data transformations.
  • Professional proficiency in English with strong communication and interpersonal skills.
• Preferred Assets / Nice-to-Haves: Experience in IT environments, Databricks, Microsoft Azure, and Medallion Architecture patterns.
• Based in the Netherlands