Data Engineer

Are you a Data Engineer and eager to consider a new project?
How about a role at a financial institution in Utrecht?

General information

• Start date:                         01-07-2026
• Duration:                           18-12-2026 with rolling extension.
• No. of working hours:     36 hours per week
• Location:                           Hybrid, 1 to 2 times per week in office in Utrecht
• Contract type:                  Payroll
• VISA sponsorship:            Yes if already in the NL
   

As a DevOps Engineer, you are responsible for designing, building and deploying productiongrade data & AI solutions. You will work on data ingestion, transformation, orchestration and deployment, ensuring solutions are secure, compliant and futureproof.

As a DevOps Engineer your focus is on the technical engineering aspects of (AI) models and data solutions developed within the team. While data scientists are primarily responsible for model logic and analytical design, you play a key role in ensuring these solutions can be built, deployed and run in a robust, scalable and compliant way.

You work closely with data scientists and IT engineers of the IT side, providing input on technical feasibility and design, and taking ownership of the data engineering and platform components that enable solutions to move safely into production.

Currently, the main priorities of the team are:

• Optimize automated closure of false Level 1 detection alerts
  The realtime detection approach relies heavily on text matching, which can lead to irrelevant alerts such as coincidental similarities or near matching names. The lowest quality alerts that are not eligible for manual review are referred to as Level 1. On top of initiatives taken in recent years, we will further explore methods to identify and close the false-positive alerts in this group.
• Support alert investigators for Level 2 detection alerts with AI generated insights
  A generative AI model is currently under development that will provide support to alert investigators in more complex alerts (Level 2). Based on the available alert attributes and publicly available information, it suggests the most likely alert decision.
• Building structural controls to identify clients that circumvented sanctions restrictions
  The effectiveness of foreign sanctions policies is hampered significantly by intentional or
  unintentional evasion (transaction rerouting, obfuscation of involved parties, etc.). This requires a new way of monitoring (groups of) transactions and clients to identify indicators of such behaviour. After successful proof of concept work in 2025, a new activity monitoring model is expected to be introduced step by step during 2026 and beyond.
• Supporting the migration of the platform for Trade Finance sanctions controls
  The last real-time detection remaining on the legacy NetReveal platform will be Pre-Trade Screening.
  With the migration to a new platform, it will be assessed to what extent the current screening
  approach can be mimicked on a new platform. It is expected that some fundamental changes are needed for a future-proof set of sanctions controls for Trade Finance documentation.]

Requirements

• 5+ years of experience in DevOps, MLOps or Data Engineering
• Experience deploying statistical models into production, adhering to strict policies and governance frameworks (e.g. leveraging Azure Data Factory)
• Ability to define coding standards for production environments, ensuring code is optimized and production ready
• Experience with Azure Cloud and CI/CD practices using Azure DevOps, including designing and maintaining Azure Pipelines for automated testing, deployment, and integration
• Strong proficiency in Python and PySpark, complemented by experience with workflow orchestration and model management tools such as Apache Airflow and MLflow
  
   

Does this role spark your interest? Then please provide me with your most recent resume and contact details, so that we can discuss this vacancy in more detail by phone!

You can check other job opportunities in our website: Jobs – Magno IT