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.

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

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 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.

Design and build scalable ELT pipelines and curated analytics models on Databricks Lakehouse using dbt, SQL, and PySpark. Partner with business teams to deliver trusted data products, implement governance and quality checks, and contribute platform best practices (CI/CD, testing, naming conventions) to enable self-service analytics across Finance, People, and Ops.

As a Data Engineer Consultant, you will manage cloud services, develop ETL scripts, automate CI/CD pipelines, and implement security solutions on client projects.

As a Data Engineer Consultant, you will work on client projects and Sia AI solutions, focusing on cloud services, containerization, data pipelines, and CI/CD management.

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 Data Engineer, you'll build and enhance scalable big data platforms, working with distributed systems and data processing tools while collaborating with diverse teams.

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.

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.

Develop high-performance software for data processing, support researchers by centralizing data curation, and work on a greenfield project for IMC's global data platform.

Design, build, and maintain data pipelines and models to support business analytics. Collaborate with analysts to enhance reporting and dashboard capabilities while ensuring data quality and scalability.

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.

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.

You will develop a strategic product on Google Cloud, collaborating with engineers to suggest solutions and implement ideas, while ensuring well-documented code and data modeling expertise.

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 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 in the MarTech team, you'll design, develop, and deliver reliable code for cloud-native applications while optimizing data engineering processes.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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 Data Generalist will maintain data infrastructure, develop ETL pipelines, and build machine learning models while collaborating across teams to deliver data products.

Responsible for developing data processes for music and video analytics, optimizing performance and handling data platform development with a focus on quality and collaboration.