Top Data Engineer Jobs in Germany

As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.

As a Senior Data & AI Engineer, you'll advise clients on data and AI solutions, analyze requirements, design tailored data solutions, and collaborate with project teams to deliver results.

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

The Data Operations Engineer is responsible for maintaining and supporting the Snowflake to Power BI reporting pipeline, resolving issues, and collaborating with business stakeholders to ensure data integrity and quality assurance.

Design, build, and operate data ingestion pipelines and cloud platform infrastructure (GCP). Ensure data quality, privacy/GDPR controls, and prepare governed datasets for ML/AI. Maintain orchestration, CI/CD, monitoring, and mentor engineers while evaluating new technologies and AI-enabled platform services.

As a Senior Data Engineer, you will design scalable data pipelines, implement new technologies, collaborate with Data Scientists, and lead technical aspects while maintaining documentation on data processes.

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves designing and maintaining a data infrastructure, improving reliability through automation, implementing monitoring systems, optimizing resources, and setting up real-time analytics for data and AI use cases.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.