Top Data Engineer Jobs in Germany

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

As a Data Engineer, you'll design and optimize data pipelines, build cloud-native solutions, collaborate with stakeholders, and apply CI/CD practices for data-driven insights.

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

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.

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 Data Centre Engineer is responsible for day-to-day operations, project management, equipment installation, and vendor coordination in a fast-paced data center environment.

Develop and integrate simulation software components in visualization technologies, create automated tests, and enhance development processes in an international team setting.

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

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 role involves designing and maintaining a data infrastructure, improving reliability through automation, implementing monitoring systems, optimizing resources, and setting up real-time analytics for data and AI use cases.

This role involves data collection for model training, operating cloud infrastructure, and collaborating with AI teams to enhance data quality and throughput.

Responsible for data collection to support model training operations, enhancing data ingestion pipelines, and collaborating on dataset roadmaps.

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

The role involves defining and designing the Flight Control System architecture, managing requirements, and collaborating with suppliers and internal teams.

The GIS Data & Software Engineer develops GIS data management workflows, integrates tools for database generation, and automates the visual database process while ensuring data quality and documentation.

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

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

As a Senior Data Engineer, you will build and integrate data products, design data flows, and ensure data accessibility for analysis. You will utilize cloud technologies and collaborate across teams to enhance dealer products.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.