Top Data Engineer Jobs in Munich

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

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

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

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

The Data Engineer will build scalable data pipelines, manage data transformations, and ensure data products align with business needs through collaboration.

The Big Data Engineer will architect and build data infrastructure, develop cloud-based processing pipelines, and ensure code quality for ML projects.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Trading Data Engineer, you will develop models for power demand and pricing, build data pipelines, and collaborate with trading teams.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

The Python Data Engineer will design and implement data pipelines, build integrations, develop APIs, ensure CI/CD compliance, and mentor team members.

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

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

You will develop advanced healthcare data management systems, enhance data-driven workflows, and work on data-centric APIs and microservices, collaborating with a diverse team.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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

Analyze and process real-time athlete data to enhance performance and reduce injury risks, developing algorithms and optimizing data pipelines.

As a Data Platform Engineer, you will develop infrastructure, maintain data pipelines, ensure data integrity, and collaborate with teams to optimize processes for trading and forecasting.

The Data Analytics Engineer will drive technology solutions, focusing on TMS implementation in logistics to enhance operational efficiency and collaboration across departments.

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

The Senior Data Engineer will migrate cloud databases, optimize data flows, and implement AI/ML algorithms for clients while ensuring data security.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.