55 germany English-speaking jobs in Rhineland-Palatinate

This position is part of the Integrated Supply Chain Organization and will be located onsite in BK, Germany

**PLEASE NOTE THIS ROLE IS AVAILABLE IN MULTIPLE AMAZON FIELD LOCATIONS ACROSS GERMANY (Munich, Winsen

WHU seeks a Full Professor to lead an innovative research agenda in Leadership, Business Psychology, or related OB/HRM topics. The successful candidate will contribute to graduate and Executive Education programs and collaborate with the Center for Responsible Leadership.

Senior Site Process Engineer will drive process stabilization and standardization across European Fulfillment Centers. Responsibilities include leading continuous improvement initiatives, implementing technological advancements, and collaborating with engineering and operations teams.

Drive process stabilization and standardization across European Fulfillment Centers. Lead continuous improvement initiatives to enhance network performance. Implement technological advancements in operations. Collaborate with engineering and operations teams to improve process metrics.

PM-International AG seeks an ETL & BI Developer to design, develop, and maintain ETL pipelines for SQL Server-based systems. The role involves ensuring data accuracy and collaborating with stakeholders to gather reporting requirements. Experience with SSIS, stored procedures, scripting, and BI tools (Qlik Sense preferred) is required.

WHU seeks a Full Professor in Leadership to lead research and teach in graduate and Executive Education programs. The successful candidate will advance knowledge in leadership, business psychology, or OB/HRM topics in the context of technological and societal transformation.

Senior Sales Excellence Manager will design, implement, and evolve global sales frameworks, lead high-impact projects, and drive innovation in pricing strategies and sales processes.

Senior Sales Excellence Manager will design, implement, and evolve global sales frameworks, lead high-impact projects, and drive innovation in pricing strategies and sales processes.

Lead, mentor, and grow a cross-functional engineering team to deliver high-quality and scalable solutions that enhance the discovery experience. Collaborate closely with product managers, designers, and stakeholders to align team efforts with business goals and user needs. Oversee the technical delivery of features and improvements, ensuring timely and high-quality outcomes. Drive engineering best practices, including code reviews, testing, and continuous integration/deployment, to maintain a robust development process. Foster a culture of innovation, ownership, and collaboration to inspire the team to excel.

Lead, mentor, and grow a cross-functional engineering team to deliver high-quality and scalable solutions that enhance the discovery experience. Collaborate closely with product managers, designers, and stakeholders to align team efforts with business goals and user needs. Oversee the technical delivery of features and improvements, ensuring timely and high-quality outcomes. Drive engineering best practices, including code reviews, testing, and continuous integration/deployment, to maintain a robust development process. Foster a culture of innovation, ownership, and collaboration to inspire the team to excel.

Designs, develops, and implements platform solutions to enhance the reliability, security, and scalability of the AI Platform infrastructure. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency. Mentors and coaches team members, fostering a culture of knowledge sharing, technical excellence, and continuous improvement. Drives incident management and troubleshooting efforts, ensuring a stable and predictable AI development and deployment environment. Improves observability and monitoring to ensure the AI Platform meets performance and compliance requirements.

Designs, develops, and implements platform solutions to enhance the reliability, security, and scalability of the AI Platform infrastructure. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency. Mentors and coaches team members, fostering a culture of knowledge sharing, technical excellence, and continuous improvement. Drives incident management and troubleshooting efforts, ensuring a stable and predictable AI development and deployment environment. Improves observability and monitoring to ensure the AI Platform meets performance and compliance requirements.

Lead, mentor, and grow a cross-functional engineering team to deliver high-quality and scalable solutions that enhance the discovery experience. Collaborate closely with product managers, designers, and stakeholders to align team efforts with business goals and user needs. Oversee the technical delivery of features and improvements, ensuring timely and high-quality outcomes. Drive engineering best practices, including code reviews, testing, and continuous integration/deployment, to maintain a robust development process. Foster a culture of innovation, ownership, and collaboration to inspire the team to excel.

Designs, develops, and implements platform solutions to enhance the reliability, security, and scalability of the AI Platform infrastructure. Provides technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborates with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency. Mentors and coaches team members, fostering a culture of knowledge sharing, technical excellence, and continuous improvement. Drives incident management and troubleshooting efforts, ensuring a stable and predictable AI development and deployment environment. Improves observability and monitoring to ensure the AI Platform meets performance and compliance requirements.