Top Data Engineer Jobs in Amsterdam

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

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.

As a Trading Data Software Engineer, you will develop and maintain applications for traders and researchers, focusing on data ingestion and curation. Responsibilities include coding, testing, deployment, and supporting high-performance systems for extensive data.

Design, implement, and manage critical data systems at scale. Ensure reliability, performance, and scalability while collaborating with various teams. Write maintainable code in Go or Python and support operational tasks through automation. Participate in on-call rotations for system reliability.

Entry-level Data Engineer role involving development and maintenance of data pipelines, databases, and ETL processes while collaborating across departments to fulfill data needs.

The Site Reliability Engineer will manage data platforms, improve observability, develop automation processes, and support critical services like HDFS and Kafka.

The Google Cloud Data Engineer will develop data solutions in a team, leverage Google Cloud, and improve customer services with innovative ideas.

As a Data Engineer, you'll handle technical service requests, design data workflows, work with AWS and SQL databases, and communicate between technical and non-technical stakeholders.

The Data Center Engineer will manage large-scale physical infrastructure projects, ensuring vendor coordination, timely delivery, and efficient communication. Responsibilities include leading project planning, tracking deployment status, and conducting post-implementation evaluations.

The Data Engineer transforms project definitions and requests into solutions on the Azure platform, integrates data from systems, and supports the CI/CD process.

Seeking a Data Engineer to develop data pipelines, implement data workflows, and migrate infrastructure from Hadoop to Spark on AWS, ensuring data quality and collaboration across teams.

As a Data Quality Engineer, you will analyze data sources, monitor data quality, develop algorithms, and collaborate with stakeholders to enhance data integrity for trading algorithms.

As a Data Engineer, you will design scalable data pipelines, ensure data quality, collaborate with teams, manage data infrastructure, and innovate data solutions.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Cloud Data Engineer - Lead Consultant, you'll collaborate with a team to create strategic products that enhance customer solutions on Google Cloud, leveraging your expertise in data engineering.

The Junior Data Engineer will design and maintain data platforms for real-time processing, optimize ETL processes, and collaborate with developers to deliver insights.

The Data Engineer will develop and optimize data pipelines, improve architectural solutions, and collaborate across teams to deliver data-driven insights.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

The role involves managing data pipelines for Tencent games, collaborating with engineering teams, optimizing data ingestion, and implementing best practices for data processing.

As a Junior Data Engineer, you'll build and maintain data pipelines, develop custom pipelines in Python, and assist with data transformations and validations.

Design and scale Kafka architecture, develop SDKs, implement operational excellence, and drive architectural decisions for messaging infrastructure.

As a Data Engineer Consultant, you will work on various client projects and build AI solutions, focusing on cloud services, Docker, Kubernetes, and Python programming.

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

As a Senior Data Engineer, you'll design and implement data ingestion pipelines, optimize compute/storage strategies, and ensure data quality while collaborating with R&D and data teams.