Top Data Engineer Jobs in the Netherlands

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.

This program offers free training for aspiring Data Engineers, leading to job roles with client companies and hands-on experience with data engineering 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.

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

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.

Seeking a Data Engineer to enhance GoodHabitz's data platform using AWS, Databricks, and Terraform, focusing on data infrastructure, pipelines, and cloud-native architecture.

The Marketing Data Engineer develops data infrastructure for marketing analytics, ETL pipelines, data modeling, and reporting automation to enhance marketing performance and consumer engagement.

As a Data Analyst, you'll analyze user behavior and product performance, create reports and dashboards, and collaborate with teams to drive data-informed decisions.

The Data Engineer design and develop cloud-native data infrastructure for AI/ML models, ensuring reliable data flows and system scalability while collaborating with various engineers to optimize data pipelines.

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

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.

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

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.

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.

The Data Engineer will develop, test, and maintain data infrastructure, ensure data integrity, and optimize data pipelines for stakeholders including Data Analysts and Data Scientists.

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.

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 SAP ECC Specialist will set up and stabilize data extraction pipelines, validate data for reporting, and support transition to S/4HANA.

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.

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 role involves designing and maintaining data pipelines, managing a Snowflake-based warehouse, optimizing data models, and creating BI dashboards using Power BI.

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.