Senior Data Scientist / Data Engineer

Senior Data Scientist / Data EngineerLocation: Netherlands (Hybrid: Fixed office days Monday & Thursday)Languages: Dutch & English (Fluent)Start: ASAPAbout the RoleAre you passionate about tackling complex data challenges that make a real societal impact? Join a leading financial institution in strengthening its fight against Money Laundering and Terrorist Financing. You’ll work on one of the largest and most advanced Transaction Monitoring (TM) data platforms in the country.In this senior role, you’ll design, build, and scale high-performance data solutions that power advanced analytics and Machine Learning models used to detect criminal behaviour. You will play a key role in modernising the TM platform, shaping infrastructure decisions, and guiding more junior team members on engineering best practices.What You’ll DoBuild scalable components and pipelines for data processing using Python and PySpark (Big Data environment).Analyse data sources and outputs to identify quality issues and ensure accurate model behaviour.Anticipate future performance or infrastructure challenges and design long-term technical solutions.Test, monitor, and optimise TM engine performance.Collaborate closely with platform, IT, architecture, and data science teams to ensure model and pipeline reliability.Act as a key collaborator for management on technical decisions and platform strategy.Key ResponsibilitiesOwn major parts of the TM data infrastructure—driving quality, scalability, and engineering excellence across the team.Lead alignment with architecture, IT, and data science to improve model performance and stability.Serve as a senior technical counterpart to stakeholders and management.Who You AreThrive in a high-paced, high-impact environment.Structured, precise, communicative, and proactive.Collaborative and able to work across multiple technical and non-technical roles.Curious, analytical, and motivated to improve financial crime detection.Your Skills & ExperienceMSc or PhD in Computer Science, Data Science, Econometrics, or another STEM field.5+ years of experience in software development, data engineering, or advanced analytics.Strong hands-on skills with Python, PySpark, and preferably Azure Databricks.Experience with software engineering best practices: Git, CI/CD, release management, unit testing, testing strategy.Proven ability to build large-scale, efficient, and reliable data systems.Excellent written and verbal communication skills (English; Dutch is a strong advantage).Genuine motivation to contribute to the fight against financial crime.Why Apply?This is your chance to use advanced data engineering and ML to protect society, influence high-impact technical solutions, and shape the future of Transaction Monitoring at scale.