Top Data Engineer Jobs in Germany

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.

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.

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

The Data Engineer II will develop data solutions for financial products, advocate best practices, and optimize application performance in cross-functional teams.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

Join the Foundation Model Training team to develop and manage large-scale data pipelines for AI-driven language products, ensuring data quality and processing. Collaborate with research scientists to improve model training outcomes.

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.

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

As a Data Engineer at Zendesk, you'll build and maintain data pipelines and models, enhance data processing efficiency, and collaborate with teams to support CRM insights.

Develop interactive data visualizations and enhance the chart library for Celonis, collaborating with cross-functional teams and advocating for UX best practices.

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.

The role involves designing and maintaining data pipelines, ensuring data quality and governance, and collaborating on technical solutions in Azure environments.

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 Data Engineer designs and implements a scalable data platform, builds data pipelines, collaborates with teams for data product development, and mentors junior engineers while enforcing best practices.

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

As a Software Developer & Data Engineer, you'll develop software solutions, maintain web applications, administer Azure services, ensure software quality, and manage databases, contributing to maritime process optimization.

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

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

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

We seek a skilled Data Engineer to design scalable data pipelines, analyze complex datasets, and collaborate with teams to empower data-driven decisions while ensuring data quality and performance.

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.

As a Data Engineer, you will design data pipelines, implement storage solutions, refine data warehouse systems, and analyze infrastructure performance.

As a Software Engineer for the Data Infrastructure & Acquisition at Speechify, you'll focus on sourcing audio data, managing cloud infrastructure, and collaborating with researchers to enhance data processing for model training.

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