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.

Join IMC as a Data Center Engineer to manage physical server lifecycle, perform installations, troubleshoot issues, liaise with vendors, and travel frequently.

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.

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

As a Junior Data Engineer, you will assist in designing and maintaining data pipelines for healthcare environments, collaborating with a diverse team to ensure data quality and support operational needs.

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.

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.

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.

The Software Engineer will build automated systems for crypto trading, ensuring reliable data ingestion, system automation, and CI/CD deployment while collaborating with research teams.

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

As a Data Engineer Consultant, you will build data solutions for clients and contribute to internal AI projects, focusing on cloud services, containerization, and data pipelines.

As a Data Engineer Consultant, you will work on client projects and Sia AI solutions, implementing cloud services, developing data pipelines, and managing CI/CD processes.

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.

As a Senior Software Engineer, you'll develop and maintain data integrations for ClickHouse, focusing on JVM-based frameworks, enhancing developer experience and performance in data engineering.

This role includes defining KPIs, providing data-driven recommendations, analyzing A/B tests, maintaining dashboards, and contributing to the data transformation code base.

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 Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

As a Senior Data Engineer, you will design and implement scalable data pipelines and APIs, translating business requirements into efficient backend solutions.

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