Top Data Engineer Jobs in the Netherlands

As a Data Engineer Consultant, you'll develop and optimize cloud services, manage data pipelines, and support data science projects while enhancing our AI solutions.

The Data Engineer Consultant will build cloud-based solutions, manage data pipelines, and support Data Science projects while shaping the team's future.

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

As a Consultant Data Engineer, you'll work on client projects and AI solutions, focusing on cloud services, containerization, Python programming, CI/CD, and data pipelines.

The Junior Data Engineer will design and maintain data platforms for real-time processing, optimize ETL processes, and collaborate with developers to deliver insights.

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

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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 Google Cloud Data Engineer, you'll develop solutions in collaboration with a team to enhance customer solutions on Google Cloud. You'll be responsible for coding, data modeling, and ensuring quality documentation of your work.

Lead the development of a strategic product for customer solutions on Google Cloud. Collaborate with a team of engineers, applying expertise in Python, SQL, and Terraform.

Design and implement data pipelines for analytics and AI solutions, enabling GenAI workflows using Azure, SQL, and Databricks while collaborating with stakeholders.

As a Senior Data Engineer I, you'll design and optimize data pipelines and cloud infrastructure on GCP/Azure, collaborating with teams to ensure high-quality data solutions that drive actionable insights. You'll influence architecture, establish standards, and mentor peers while automating and securing the data environment.

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

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Lead Data Engineer will manage the data engineering team, optimizing data architectures and ensuring high-quality data delivery for trading systems.

As a Senior Backend Engineer, you'll develop backend services and APIs, collaborate with cross-functional teams, and ensure code quality and performance in a high-growth environment.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.