Top Data Engineer Jobs in Amsterdam

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.

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 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.

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

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.

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

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.

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.

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.

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.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

As a Software Engineer for Speechify, you'll focus on data collection for AI model training, manage cloud infrastructure, develop data ingestion pipelines, and collaborate on dataset roadmaps.

The Senior Data Engineer will lead the design and evolution of scalable data architectures, mentor team members, build data pipelines, and integrate Generative AI into workflows.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

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.

The Lead Data Platform Engineer will architect and maintain data platforms, lead a team, ensure data platform reliability, and implement best practices.

As a Senior Data Engineer at FUGA, you'll manage data pipelines, improve data models, ensure data quality, and collaborate on data-driven solutions.