Top Data Engineer Jobs in Amsterdam

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.

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

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

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 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 Lead Cloud Data Engineer, you'll collaborate with software engineers to develop cloud solutions, suggesting improvements and implementing project requirements on Google Cloud.

The Data Engineer Operations will design automated tools and dashboards to optimize trading operations, manage trade lifecycle processes, ensure accurate reporting, and improve workflows through collaboration and automation.

As a Junior Data Engineer, you will build data processing pipelines, support decision-making, visualize finance indicators, and monitor improvements.

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 Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

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.

The Data Engineer Consultant will work on client projects and develop Sia AI solutions, focusing on cloud services, data pipelines, and CI/CD.

As a Data Engineer Consultant, you will develop data pipelines, manage cloud services, and automate CI/CD processes while working on client projects and Sia AI solutions.

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.

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.

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.

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.

Design and develop high-performance backend services using FastAPI and Azure data services, focusing on data processing and observability in enterprise applications.

The Senior Data Engineer will oversee data workloads on AWS and Azure, improve governance, manage architecture decisions, and collaborate across departments to deliver complex data products.

Lead the design and delivery of data pipelines and warehouse layers. Mentor team members, ensure data quality, and improve engineering practices. Collaborate with cross-functional teams to enhance healthcare data utilization.

As a Mechanical Engineer in R&D for data centers, you will design and develop hardware solutions that support AI systems in a collaborative environment.

The Software Engineer will manage data collection for AI model training, enhance ingestion pipelines, and collaborate on dataset roadmaps.

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

Build and maintain a high-load, near real-time data platform: design async Python APIs, ETL flows from the data warehouse to PostgreSQL, implement caching, improve reliability and performance, own features end-to-end, and collaborate with product teams.