Top Data Engineer Jobs in Amsterdam

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.

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 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.

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.

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.

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.

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.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

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.