Top Data Engineer Jobs in Germany

As a Software Engineer on the Data Platform team, you will design and implement scalable systems for data processing, ensuring data quality and governance, while collaborating with cross-functional teams and mentoring engineers.

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.

Seeking a Senior AWS Data Engineer to design data pipelines, collaborate on data-driven solutions, and manage data infrastructure to support a cybersecurity startup's growth.

As a Data Engineer, you will build data pipelines, ensure data reliability, automate processes, and improve data infrastructure for operational insights.

The Data Engineer II will develop financial products, enhance data access, and improve software performance while advocating best practices.

As a Data Engineer at Zendesk, you'll build and maintain data pipelines and models, enhance data processing efficiency, and collaborate with teams to support CRM insights.

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

Design and build ETL pipelines and self-service data tools using modern cloud technologies, while collaborating with stakeholders to deliver data solutions.

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 Data Engineer, you will design data pipelines, implement storage solutions, refine data warehouse systems, and analyze infrastructure performance.

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.

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.

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 will manage data ingestion workflows from Postgres to BigQuery, maintain data infrastructure, and contribute to data engineering pipelines while applying best practices.

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

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

The Data Engineer will design and implement data pipelines, ensure data quality, manage datasets, and collaborate with teams to optimize data structures and processes.

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.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

Join the Foundation Model Training team to develop and manage large-scale data pipelines for AI-driven language products, ensuring data quality and processing. Collaborate with research scientists to improve model training outcomes.

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.