Top Data Engineer Jobs in Berlin

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.

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

As a Data Engineer II, you will analyze AI investments, advocate for AI adoption, build training programs, and ensure collaboration across teams.

As a Data Engineer, you will manage laboratory and clinical data projects, building machine learning models and supporting data analytics in the life sciences domain.

The Data Engineer will design and maintain data pipelines and backend services, utilizing Python and cloud platforms to enhance data processing and performance.

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 role involves building and maintaining data pipelines using various technologies, collaborating with stakeholders, monitoring data health, and promoting team knowledge sharing.

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

As a Data Engineer, you will build and maintain data pipelines, develop a cloud-based data platform, integrate data for reporting, and collaborate with teams to enhance data-driven decision-making.

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 Senior Software Data Engineer, you will enhance and create data processing pipelines, monitor performance metrics, and enforce security practices within the Roads team at Mapbox.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

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

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.

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

The job is for a Senior Data Engineer position, focusing on data handling and engineering tasks. It requires expertise in data technologies and offers opportunities for professional development.

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 Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.