Top Data Engineer Jobs in Germany

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

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.

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

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 role involves optimizing legal processes through automation and data integration across global legal teams, requiring strong technical skills in software engineering and data management.

The Junior Data Engineer will develop data processing pipelines, enhance data quality, manage ETL processes, and collaborate in an agile team environment to support data-driven decisions.

The role involves analyzing data for insights, creating dashboards, and collaborating with teams to optimize product performance using SQL, Python, and visualization tools.

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.

The Software Engineer will enhance data collection processes for Speechify's AI team, managing the ingestion pipeline and collaborating on dataset roadmaps.

Build scalable, searchable data infrastructure and ML pipelines for autonomous driving systems while collaborating with engineering teams to ensure data quality and integrity.

As a Senior Data Engineer, you'll design and maintain Python-based data pipelines for ML workflows, ensure data quality, and collaborate with various teams to enhance fraud detection systems.

The DevOps Engineer will maintain application environments, ensure infrastructure availability, oversee deployment processes, and lead training sessions within the team.

As a Data Engineer, you will design, develop, and maintain data applications for analytics, utilizing various tools and programming languages while working within a collaborative team.

Develop backend services using Rust for cloud-native systems processing terabytes of data. Contribute to innovation in observability solutions.

The Senior Data Engineer will design and build real-time data pipelines, develop ingestion pipelines, ensure data quality, and support data operations for logistics optimization.

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 Senior Data Engineer will design ETL pipelines, implement data workflows using Python, Spark, and Airflow, while ensuring data security and quality for healthcare analytics.

As a Senior Data & AI Engineer, you'll advise clients on data and AI solutions, analyze requirements, design tailored data solutions, and collaborate with project teams to deliver results.

As a Senior Data Engineer, you will design scalable data pipelines, implement new technologies, collaborate with Data Scientists, and lead technical aspects while maintaining documentation on data processes.

Design, build, and maintain scalable data transformation pipelines on Snowflake using DBT. Integrate diverse data sources (databases, files, HDFS, APIs), optimize DBT models, automate workflows, and support BI/reporting through monitoring and troubleshooting to ensure reliable data delivery.

As a Senior Data Engineer, you'll design, implement, and optimize scalable data pipelines and Data Lake architecture, collaborate cross-functionally, and ensure data reliability and quality in a rapidly growing AI-driven environment.

Join the AI & Biometrics team to develop a resilient data platform for machine learning, focusing on data ingestion, transformation, and secure API development.

You will design and build data infrastructure from scratch, enabling the company to utilize data effectively across all teams, ensuring security and regulatory compliance.