Top Data Engineer Jobs in Berlin

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

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Data Engineer, you will develop and maintain data solutions, collaborate with teams, ensure data quality, and manage data pipelines in a Data Mesh environment.

As a Salesforce Engineer at Zalando, you will develop multi-org CRM solutions, manage the full software development lifecycle, and optimize systems while collaborating with a diverse team.

Join GetYourGuide as a Data Engineer, designing and evolving the core data platform, optimizing data pipelines, and ensuring performance and reliability of the data ecosystem.

Design, build, and maintain data platforms; optimize data workflows; collaborate with stakeholders on data initiatives; and stay updated on data technologies.

The Data Engineer will design, develop, and maintain data products and ETL processes within AWS Redshift, ensuring data quality and performance optimization while collaborating with cross-functional teams.

The Data Engineer will design and maintain data sources, optimize ETL pipelines, implement automation for data reliability, and collaborate with different teams to meet data requirements.

Design and build ETL pipelines and self-service data tools using modern cloud technologies, while collaborating with stakeholders to deliver data solutions.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Senior Data Engineer will design and build high-performance data pipelines, ensuring data quality for AI applications, and promote best practices in data products optimized for machine learning.

Seeking a Senior AWS Data Engineer to design data pipelines, collaborate on data-driven solutions, and manage data infrastructure to support a cybersecurity startup's growth.

As a Data Engineer, you will build data pipelines, ensure data reliability, automate processes, and improve data infrastructure for operational insights.

The Data Engineer II will develop financial products, enhance data access, and improve software performance while advocating best practices.

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

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 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 Senior Security Engineer, you'll design secure cloud infrastructure, automate deployments, optimize CI/CD pipelines, and manage internal security solutions while collaborating with teams and documenting processes.

The Senior Data Engineer will design and implement scalable data solutions, develop ELT pipelines, optimize performance, and collaborate with teams to enhance data systems at Zendesk.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

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