Top Data Engineer Jobs in the Netherlands

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Build and operate live pricing data systems and historical replay frameworks, integrate external datasets, optimize performance across C++/Python boundary, and collaborate with traders and researchers to deliver production-quality pricing data pipelines with monitoring and data-quality validation.

Design, build, and operate a scalable data platform for quantitative research and backtesting. Develop production-grade Python applications to ingest, process, validate, and distribute market and reference data. Build automated data pipelines (Airflow, AWS Batch), ensure data quality and observability, and collaborate with researchers, software, and infrastructure teams to accelerate dataset onboarding and research workflows.

Design, prototype, and deploy ML and LLM solutions using messy, real-world data. Build data pipelines, models, visualizations and PoCs. Communicate insights to technical and non-technical stakeholders and iterate quickly to deliver business impact.

Design and build highly scalable, low-latency market data systems and APIs. Implement backend services, influence architecture, maintain test coverage, participate in code reviews, troubleshoot incidents, and occasionally be on-call. Work spans streaming and historical market data endpoints and developer-focused API improvements.

Design and build governed data pipelines, semantic models, and data products using Databricks, dbt, SQL, and PySpark. Implement Unity Catalog and DataHub governance (lineage, access controls, classification). Collaborate with stakeholders, drive CI/CD, testing, observability, and deliver production-grade analytics and AI-ready data assets.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.

The Senior Data Engineer will design data architectures, oversee integrations, mentor clients, and ensure adherence to data practices, with a focus on digital marketing.