Top Data Engineer Jobs in Hamburg

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

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 Data Engineer will develop and optimize ETLs/ELTs, manage data workflows, collaborate with teams, and ensure data quality and security.

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.

The Software Engineer will manage data collection and processing to enhance AI model training, collaborating with scientists and extending cloud infrastructure.

As a Senior Data Engineer, you will build and optimize data platforms and pipelines, ensuring the smooth transfer of terabytes of data and delivering critical reports for executive decisions.

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.

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.

As a Senior Software Engineer at ClickHouse, you'll enhance the Python data ecosystem by creating tools and integrations for data practitioners, focusing on performance and reliability while collaborating with various teams.

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.

As a Senior Software Engineer, you'll develop and maintain data integration frameworks for ClickHouse, ensuring high performance and reliability in data processing. Collaborating with teams and the open-source community, you'll enhance the developer experience and support critical data workloads.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Design and develop data models, ETL processes, and cloud-based data solutions using Azure and various big data technologies. Support report generation and data analysis.

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 Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.