Top Data Engineer Jobs in the Netherlands

As a Data Engineer, you will build and maintain high-quality data pipelines and architectures, ensuring data flows and integrity while collaborating with diverse stakeholders and adhering to best practices.

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

Design, build, deploy and operate scalable ELT pipelines and data architectures. Collaborate with stakeholders to translate requirements, ensure data quality, implement testing/monitoring, optimize performance, and champion data engineering best practices across the organization.

Consultant Data Engineer responsible for client projects and building AI solutions, focusing on cloud services, data pipelines, and CI/CD management.

As a Data Engineer Consultant, you will develop data pipelines, manage cloud services, and work on client projects, focusing on data science solutions.

As a Data Engineer Consultant, you'll enhance client projects through cloud services, data pipelines, and DevOps culture, using Python and various technologies.

As a Data Engineer Consultant, you'll shape client projects and build AI solutions, focusing on data pipelines, cloud services, and application deployment.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Engineer, you'll develop data infrastructures for product platforms, create data pipelines, and ensure reliable data flow. You'll collaborate with teams to improve data reliability and adapt to emerging technologies.

The intern will design, develop, and maintain gaming data platforms and optimize ETL/ELT processes for high-volume data streams.

As a Cloud Data Engineer Lead Consultant, you'll develop strategic solutions on Google Cloud, leveraging Python, SQL, and Terraform while working with a team of Software Engineers.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Build and maintain high-performance, reliable OLAP systems and tooling at scale. Develop self-service platform features, integrate OLAP with distributed systems, ensure data quality, observability, and governance, and optimize cluster efficiency for multi-tenant analytical workloads.

As a Senior Data Platform Engineer, you will manage a large-scale data platform, ensuring reliability, scalability, and performance while collaborating with data teams and implementing automation.

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.

The role involves working on complex projects, improving platform robustness, building APIs, and collaborating across teams while ensuring efficient coding practices.

Design, build, and scale Kafka-based messaging infrastructure handling hundreds of millions of daily messages. Develop SDKs and abstractions for product teams, implement monitoring and performance optimizations, drive storage provisioning and architectural decisions, and support data engineering and analytics workflows.

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.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer is responsible for managing and delivering high-quality data products, implementing data strategies, and translating business requirements into accessible data solutions in an Agile environment.

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.

The role involves designing and maintaining scalable data pipelines and models, improving system performance, and collaborating with teams to ensure accessible data for decision-making.

As a Data Engineer, you will design and maintain scalable data pipelines, collaborate with analysts, ensure data integrity, and optimize systems.

As a Staff Data Center Operations Engineer, you will provision hardware, troubleshoot issues, and collaborate with engineering teams to enhance Zscaler's data center capabilities.