Top Data Engineer Jobs in the Netherlands

The Data Center Engineer will manage data center assets, maintain DCIM documentation, collaborate on deployments, and oversee global operations.

As a Data Engineer, you'll build and enhance scalable big data platforms, working with distributed systems and data processing tools while collaborating with diverse teams.

No job description provided. Title indicates a senior software/data engineering role focused on logistical network planning, combining software engineering and data engineering responsibilities.

Design, build, and maintain scalable data ingestion and ETL pipelines on Databricks/AWS. Package pipelines as Python wheels, implement transformations and enrichment, ensure data quality and observability, contribute to the Data Loom data model, and collaborate with platform teams and stakeholders to deliver governed, reliable datasets and reporting.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

As a Specialist Solution Architect, you'll provide technical expertise in data security, own technical sales processes, and collaborate with sales and engineering teams to drive innovation.

The Senior AI and Data Engineer will lead AI adoption by developing and deploying AI solutions, collaborating with teams, conducting experiments, and building scalable systems.

The Data Engineer Operations will design automated tools and dashboards to optimize trading operations, manage trade lifecycle processes, ensure accurate reporting, and improve workflows through collaboration and automation.

As a Junior Data Engineer, you will build data processing pipelines, support decision-making, visualize finance indicators, and monitor improvements.

As a Lead Cloud Data Engineer, you'll collaborate with software engineers to develop cloud solutions, suggesting improvements and implementing project requirements on Google Cloud.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

As a Senior Data Engineer, you will develop, deploy, and maintain data pipelines, improve quality and reliability, and support junior-mid level team members, while influencing technical decisions and engaging in Agile practices.

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

The Data Engineer will design and maintain data pipelines for medical imaging, support data lifecycle processes, and improve legacy datasets while ensuring compliance with regulatory standards.

Develop and maintain the reporting framework, manage data access, transform data formats, and build scalable APIs while collaborating cross-functionally.

The Data Engineer will design, build, and maintain data infrastructure, creating data models, developing ETL processes, and optimizing data pipelines for analysis and reporting.

The Data Engineer Consultant will work on client projects and develop Sia AI solutions, focusing on cloud services, data pipelines, and CI/CD.

As a Data Engineer Consultant, you will develop data pipelines, manage cloud services, and automate CI/CD processes while working on client projects and Sia AI solutions.

As a Data Engineer Consultant, you will develop cloud services, build data pipelines, manage CI/CD processes, and support Data Science projects.

As a Data Engineer Consultant, you will work on client projects and Sia AI solutions, focusing on cloud services, data pipelines, and CI/CD processes.

The role involves designing and maintaining cloud-native data pipelines, implementing medallion architecture, and ensuring data quality in a collaborative environment.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

Design and build scalable ELT pipelines and curated data models on a Databricks Lakehouse. Partner with business teams to create reliable data products, implement governance and quality checks, and enable BI and self-service analytics while contributing to platform best practices.