Top Data Engineer Jobs in Germany

As a Software Engineer for Data Infrastructure, you will manage data ingestion, collaborate on dataset roadmap, and extend cloud infrastructure.

The Software Engineer will manage data collection for model training at Speechify, handling infrastructure on GCP, and collaborating with AI scientists.

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 job is for a Senior Data Engineer position, focusing on data handling and engineering tasks. It requires expertise in data technologies and offers opportunities for professional development.

The role involves analyzing market requirements for data and signal transfer, developing concepts, validating signal transfer channels, and collaborating on electrical communication systems.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

As a Senior Software Engineer, you will build and maintain high-performance data integrations for ClickHouse, focusing on JVM-based frameworks and collaborating with the community on data ecosystem solutions.

As a Senior Frontend Engineer, you will drive projects affecting user experience, mentor team members, enhance data visualization, and ensure operational excellence.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

Architect and build a greenfield data warehouse, develop resilient ETL/ELT pipelines, ensure data integrity, and lead junior engineers. Work on modern data infrastructure with a focus on AI integration.

Lead a data engineering team in creating and maintaining a data platform. Responsibilities include designing ETL pipelines, ensuring data quality, and contributing to overall platform stability.

This role involves data collection for model training, operating cloud infrastructure on GCP, and collaborating on data strategies for AI products.

The Software Engineer will focus on data collection and integration for model training at Speechify, improving data quality and pipeline infrastructure.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Backend Developer will create and maintain backend services using C# / .NET, focusing on data onboarding, ETL processing, and cloud solution deployment in AWS.

Develop and integrate software for data processing and visualization to support engineering teams. Guide junior engineers, create web applications, and improve performance.

Develop and maintain healthcare data management systems, focusing on data APIs, microservices, and infrastructure while adhering to healthcare standards.

As a Data Platform Engineer, you will architect and build high-performance data platforms focusing on distributed computing, ETL processes, and metadata modeling, collaborating closely with the CTO and product team.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.