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

As a Junior Data Engineer, you will support SAP integrations, write scripts for data extraction, and enhance data reliability while learning throughout the process.

The Data Engineer will design and implement data pipelines and architectures leveraging AWS and related technologies to support business needs.

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 Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

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.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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

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

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 Data Engineer Consultant, you will support client projects and develop Sia's AI solutions, focusing on cloud services, data pipelines, and CI/CD processes.

As a Consultant Data Engineer, you'll work on client projects and AI solutions, focusing on cloud services, containerization, Python programming, CI/CD, and data pipelines.

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

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.

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

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

As a Principal Data Engineer, you'll design and build large-scale backend services and high-throughput data pipelines, lead architectural decisions, and mentor junior engineers while collaborating with cross-functional teams.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.