Top Data Engineer Jobs in Germany

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 Data Engineer will design and maintain data ingestion pipelines, develop transformation processes, build secure APIs, and contribute to MLOps tooling for machine learning models and data governance.

As a Senior Data Engineer, you will design and implement scalable data pipelines, optimize data architecture, and support AI initiatives using Azure and Big Data technologies.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

The Data Curation Developer will lead the development of business requirements, integrate diverse datasets, ensure data quality, and collaborate with teams for analytics purposes.

Design and implement search retrieval and ranking systems, build data pipelines, and evaluate performance metrics. Collaborate with teams to enhance system relevance.

As a Senior Backend Engineer, you will design and build backend systems, collaborate with various teams, and mentor junior engineers while optimizing microservice architectures.

In this role, you will design and develop data pipelines, maintain data infrastructure, and collaborate with teams to meet business data requirements.

The Senior Data Engineer will design and maintain data processing pipelines and ontologies, ensuring data integrity and quality, while collaborating closely with customers to leverage data for decision-making.

The Data/BI Engineer will build and maintain data pipelines, create dashboards in Looker, and unlock insights from data to support business decisions.

The Data Ops Engineer will design and build data pipelines, develop automated systems for insights delivery, enable AI workflows, and optimize data strategy.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

Lead validation and automation of data pipelines, ensure data quality, and collaborate on building robust testing frameworks for cloud-native applications.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

The role involves maintaining EUMETSAT Copernicus software, correcting anomalies, optimizing performance, and documenting the code while working collaboratively in a team.

Design, build, and operate backend and data systems for both Soda Cloud and Soda Core, ensuring high performance and reliability. Collaborate across teams to improve data quality and contribute to open-source projects.

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

As a Data Backend Engineer, you will build and optimize backend systems using Python, PostgreSQL, and AWS, develop APIs, and automate deployments.

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.