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.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Platform Engineer, you will develop and maintain scalable big data platforms, improve existing tools, and collaborate with data-focused teams to enhance data quality and discoverability.

The Site Reliability Engineer will manage data platforms, improve observability, develop automation processes, and support critical services like HDFS and Kafka.

The Data Engineer will develop and optimize data pipelines, improve architectural solutions, and collaborate across teams to deliver data-driven insights.

As a Data Engineer Consultant, you'll work on client projects, build AI solutions, and develop data pipelines using cloud services, Docker, and CI/CD practices.

The Data Center Engineer will manage large-scale physical infrastructure projects, ensuring vendor coordination, timely delivery, and efficient communication. Responsibilities include leading project planning, tracking deployment status, and conducting post-implementation evaluations.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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 Trading Data Software Engineer, you will develop and maintain applications for traders and researchers, focusing on data ingestion and curation. Responsibilities include coding, testing, deployment, and supporting high-performance systems for extensive data.

Design and scale Kafka architecture, develop SDKs, implement operational excellence, and drive architectural decisions for messaging infrastructure.

As a Junior Data Engineer, you'll build and maintain data pipelines, develop custom pipelines in Python, and assist with data transformations and validations.

As a Data Engineer Consultant, you will work on various client projects and build AI solutions, focusing on cloud services, Docker, Kubernetes, and Python programming.

The Consultant Data Engineer will work on client projects and Sia's AI solutions involving cloud services, data pipelines, and DevOps practices.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Core Data Engineer will manage the lifecycle of core data products, ensuring high-quality delivery through data pipelines and collaboration across teams.

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

As a Data Engineer at Monks, you will design, build, and maintain data pipelines, support data integration, and collaborate with data science to implement ML models.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

Entry-level Data Engineer role involving development and maintenance of data pipelines, databases, and ETL processes while collaborating across departments to fulfill data needs.

The Google Cloud Data Engineer will develop data solutions in a team, leverage Google Cloud, and improve customer services with innovative ideas.

As a Data Engineer, you'll handle technical service requests, design data workflows, work with AWS and SQL databases, and communicate between technical and non-technical stakeholders.

As a Data Engineer, you'll design and build data pipelines, manage cloud infrastructures, ensure data quality, and collaborate on innovative data solutions.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.