Top Data Engineer Jobs in Amsterdam

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.

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

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

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

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.

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.

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.

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.

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.

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

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

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.

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

The role involves building a scalable data platform for near real-time performance data for eBay's advertising products and collaborating with diverse teams to redefine the advertising space.

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 Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

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 Staff Data Engineer will design, build, and maintain scalable data pipelines, ensure data quality, mentor junior engineers, and manage data architecture strategies while working closely with product and engineering teams.

The Senior Data Engineer will build and scale data pipelines, support Data Science and AI initiatives, ensure data privacy, and maintain the data platform for a global marketplace.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.