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 Data Engineer will onboard, transform, and manage financial datasets, collaborating with traders and researchers to develop trading strategies and ensure data quality.

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.

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

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.

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 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.

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 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 at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.

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

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

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

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

Lead the design and development of data infrastructure for MarTech, overseeing data pipelines and modeling strategies while mentoring the team. Collaborate with cross-functional stakeholders to shape technical decisions that align with business goals.

The Senior Data Engineer will design and maintain data infrastructure, develop pipelines, ensure data quality, and collaborate to enable insights.

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.

The Staff Data Engineer will design and maintain data models, develop ELT pipelines, and collaborate with teams to democratize data access across the business.

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.

Design and maintain ETL pipelines, optimize research workflows, mentor junior engineers, and influence data architecture for real-time analytics and trading decisions.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

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

The Lead Data Engineer will manage the data engineering team, optimizing data architectures and ensuring high-quality data delivery for trading systems.