Top Data Engineer Jobs in Germany

Build and maintain data warehouses, cloud infrastructure and AI workflows; integrate data from multiple systems; enable broad data access through front-ends; collaborate with analytics in an agile environment to deliver scalable data products and business impact.

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.

The Data Processing Engineer will conduct vehicle safety tests, parameterize and troubleshoot control devices, and analyze generated test data, supporting the testing process.

Design, build, and maintain scalable data products and AWS Redshift data mart infrastructure. Develop ETL pipelines, implement data modeling and quality checks, optimize performance, and collaborate with BI and analytics teams to deliver reliable reporting solutions.

As a Data Engineer, you will design, build, and support data warehouse components, conduct data analysis, and collaborate on projects involving ETL processes and performance optimization.

The Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

Design and maintain data platforms, optimize workflows, and collaborate with stakeholders to meet data requirements using modern technologies.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Senior Data Engineer will design and implement scalable data pipelines and optimize data architecture for Data & AI initiatives, ensuring high performance and security.

Join GetYourGuide as a Data Engineer, designing and evolving the core data platform, optimizing data pipelines, and ensuring performance and reliability of the data ecosystem.

The role involves building and scaling data pipelines, ensuring efficient data flow for ML model training and evaluation, and collaborating on data needs.

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

As a Data Engineer at GALVANY, you'll architect data infrastructure, process real-time energy data, build scalable data pipelines, and ensure data quality for an AI-based Operating System.

The Data Engineer will develop and evolve the Microsoft Azure platform for big data, build cloud solutions, analyze medical device data, collaborate with teams, and improve skills with the latest technologies.

The Data Engineer will design and build data features, maintain data pipelines, ensure data quality, and collaborate with product engineers on data workflows.

As a Senior Data Engineer, you'll own the data stack, build data pipelines, and collaborate in a data-driven culture to support decision-making.

The Senior Data Engineer will develop scalable cloud-based data solutions, build data pipelines, ensure data quality, and collaborate within data and product teams.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design, build, and maintain scalable data pipelines using Azure technologies. Optimize data integrity and performance for BI and AI use cases while collaborating in workshops to deliver tailored solutions.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

The Data Engineer is responsible for designing and building APIs, developing data pipelines, ensuring system reliability, and collaborating on technical solutions for business outcomes.

The (Senior) Data Engineer designs and maintains data pipelines, collaborates with clients on data needs, and develops dashboards for insights.

Join the Foundation Model Training team to design and build data pipelines, manage unstructured data, and support AI language technology projects.