218 germany English-speaking jobs in Rhineland-Palatinate

communicate effectively with multiple levels of customers Willingness to travel up to 50%, primarily across Germany

communicate effectively with multiple levels of customers Willingness to travel up to 50%, primarily across Germany

Modality leader, EMEA, and is part of the Nanomedicine Business Unit at Genomic Medicine OpCo at Cytiva Germany

Modality leader, EMEA, and is part of the Nanomedicine Business Unit at Genomic Medicine OpCo at Cytiva Germany

Modality leader, EMEA, and is part of the Nanomedicine Business Unit at Genomic Medicine OpCo at Cytiva Germany

This position is part of the Global Product Technical Support team and will be located in Munich, Germany

This position is part of the Global Product Technical Support team and will be located in Munich, Germany

CANDIDATES MUST HAVE CURRENT LEGAL AUTHORIZATION TO WORK IMMEDIATELY IN GERMANY. ... You will work in an interdisciplinary environment, located in Neu-Isenburg, Germany and connected with ... Important information regarding this requisition: This requisition is for a locally hired position in Germany ... status.Contingent Upon Award Program This position is not contingent upon program awardShift: Not a Shift Worker (Germany

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Build and operate the analytical data foundation for COO functions (Support, Service Delivery, Group IT) across 19 countries. Develop a unified data warehouse, integrate source systems, and deliver usable data products. Design dashboards and reports for operational metrics and create clean data structures for AI and automation solutions.

The Modality Leader – Bioprocess Resins drives orders and sales for the Bioprocess Resins business in EMEA. This role reports to the VP, Bioprocess Commercial EMEA and is part of the Commercial Leadership Team. Responsibilities include managing operating mechanisms with various departments, coaching sales teams, achieving sales targets, and acting as a subject matter expert on downstream chromatography resins.

The Modality Leader – Bioprocess Resins drives orders and sales for the Bioprocess Resins business in EMEA. This role reports to the VP, Bioprocess Commercial EMEA and is part of the Commercial Leadership Team. Responsibilities include managing operating mechanisms with various departments, coaching sales teams, achieving sales targets, and acting as a subject matter expert on downstream chromatography resins.

Manages and monitors large IT and SAP projects from initiation to completion. Leads interdisciplinary teams, creates project plans and reports, and implements standardized project management methods. Requires experience in IT environments, project management methodologies, and SAP projects.

Business Analyst / IT Process Manager (m/f/d) – Digitalization & AI will analyze, optimize, and digitalize business and IT processes, integrating AI approaches. The role involves designing, implementing, and documenting process improvements, collaborating with IT teams, and establishing Service Level Agreements (SLAs).

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Network Engineer responsible for the secure and stable operation of the company's network infrastructure. Experience with CISCO and Meraki network solutions is required.

Manage and support Microsoft 365 applications including Teams, SharePoint, OneDrive, Intune, and PowerApps. Provide 2nd-level support, including root cause analysis and preventive measures. Support Workplace Management, software distribution, and business applications.

Manage and support Microsoft 365 applications including Teams, SharePoint, OneDrive, Intune, and PowerApps. Provide 2nd-level support, including root cause analysis and preventive measures. Support Workplace Management, software distribution, and business applications.

Designs, implements, and operates data solutions including DWH, BI, and big data solutions. Develops ETL processes, reporting, and dashboards. Advises management on data-driven decision-making.

Develop and operate scalable AI platforms in cloud environments. Support the entire AI lifecycle, from data preparation to deployment. Automate infrastructure and workflows using DevOps and MLOps tools. Collaborate with data scientists and engineers to design and implement platform functionalities. Ensure platform quality, stability, and security.