Top Data Engineer Jobs in Germany

As a Data Engineer at Superhuman, you'll design and implement data systems, ensuring scalability and security for handling billions of daily events, while collaborating across teams and mentoring engineers.

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

As a Junior Data Engineer at AMBOSS, you'll build and maintain data pipelines, contribute to integrations, collaborate with cross-functional teams, and enhance the data platform while learning from experienced engineers.

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

The Finance Data Engineer will design and deploy automated pipelines, ensure finance data integrity, and implement AI-driven solutions while maintaining data sovereignty and compliance with government contracts.

As a Data Engineer, you'll design, develop, and maintain complex data applications and ETL workflows, utilizing diverse data sources for analytical insights.

The Data Engineer will develop and optimize ETLs/ELTs, manage data workflows, collaborate with teams, and ensure data quality and security.

As a Data Engineer at Veeva Link, you will design and maintain data pipelines for healthcare data, ensuring data integrity and optimizing AI-assisted development processes.

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.

As a Principal Data Engineer, you'll architect and oversee data assets for customer-facing analytics, lead design reviews, mentor teams, and drive an AI-first data engineering approach.

The Data Engineer will design and optimize data pipelines and architectures, collaborate with stakeholders, and apply CI/CD practices to ensure high-quality data solutions.

As a Data Engineer, you will develop data pipelines and architectures, work with cloud technologies, and enhance data solutions.

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

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

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 Analyst at Air Apps, you'll analyze user behavior and product performance, create reports and dashboards, and provide actionable insights using data visualization tools and programming languages.

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 Specialist Solution Architect will provide technical expertise to enterprise customers, leading technical sales and presentations while owning the sales process.

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.