Top Data Engineer Jobs in Hamburg

The Senior Data Engineer will design and manage a data platform, ensuring efficient data pipelines, core report generation, and collaboration with engineering teams.

Build and maintain scalable ETL/data pipelines and orchestration for content publishing, optimize and monitor data infrastructure, automate processes, and collaborate with data and content teams.

As a Senior Data Engineer, you design, implement, and maintain data pipelines and architecture, collaborating with clients to tailor solutions and drive insights.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and setting up data centers.

As a Senior Software Data Engineer, you will enhance and create data processing pipelines, monitor performance metrics, and enforce security practices within the Roads team at Mapbox.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

The Specialist Solution Architect will provide technical expertise to enterprise customers, leading technical sales and presentations while owning the sales process.

The Data Engineer will manage tracking data pipelines, ensure data quality and governance, optimize ELT processes, and collaborate with teams to enhance data accessibility and reliability.

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.

The Data Engineer will enhance data retrieval pipelines, expand market coverage, develop features, improve monitoring tools, support API performance, and work with cross-functional teams in a dynamic environment.

The role involves ownership of the data platform, optimizing core ELT pipelines, and delivering critical reports for executive decisions. The candidate will build tooling and maintain high-volume data processes.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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 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.

The role involves scaling the Feature Store, ensuring data quality, optimizing pipelines, and bridging data science with backend engineering in a mobile ad tech environment.

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 Technical Privacy Expert will implement privacy-by-design principles, ensure compliance with regulations, mentor teams, and develop technical frameworks for privacy in technologies.

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

As a Full-Stack ML Engineer, you will develop backend services, data pipelines, and customer-facing UIs while leveraging ML. You'll manage the software lifecycle and write code in Python and Typescript.