10 germany English-speaking jobs in Erlangen

across the DACH region and drive significant business growth through collaboration with Siemens CEOs for Germany ... Headquartered in Munich, Germany, Siemens Advanta operates with a global network of about 1,000 employees

: Full-time Work mode: Hybrid (Remote/Office) Employment type: Fixed Term Location(s): Erlangen - - Germany

Drive Siemens' waste vertical growth by executing go-to-market strategy and building pipeline. Act as the expert counterpart to sales teams, engaging operators and municipalities. Requires deep waste domain expertise and commercial drive.

Drive Siemens' waste vertical commercial growth by developing go-to-market strategy and building pipeline. This role requires deep waste domain expertise, a commercial mindset, and the ability to engage stakeholders.

Supervise HVDC Primary & Valve Installation, including cooling systems, on large-scale projects. Ensure EHS compliance, quality control, and coordinate installation activities with subcontractors. Requires technical background and relevant experience.

Develop and implement methods for the Supply Chain Investigations Lab, focusing on data collection, analysis, and digital security. Requires proficiency in programming (e.g., Python, R), data handling, and open source principles.

Data Scientist to develop and implement methods for data collection, processing, and analysis within the Supply Chain Investigations Lab. Requires proficiency in programming (Python/R), data analysis, and open source principles.

Research Technologist for Supply Chain Investigations. Develop and implement data collection, processing, and analysis tools, exploring AI. Requires proficiency in programming (Python/R), data munging, and open source principles.

Research Technologist for the 'Unmasking Supply Chains' Project. Develop and implement methods/tools for data collection and analysis, exploring AI. Requires programming proficiency (Python/R), data handling skills, and understanding of open source principles.

Develop and implement new methods and tools for Supply Chain Investigations Lab, exploring AI and automation. Requires proficiency in programming (e.g., Python), data analysis, and open source principles.