Data Engineer (m/f/x)

Sorry, this job was removed at 08:08 a.m. (CST) on Friday, Mar 06, 2026
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2 Locations
In-Office
Industrial
The Role

Seeing beyond - future of medical technology 

For more than 100 years, ZEISS medical technology has been driving progress in ophthalmology and microsurgery. In ophthalmology, our solutions help to maintain and improve people's vision at every stage of their lives. In microsurgery, our solutions enable targeted interventions on diseased tissue so that small and sensitive organs continue to function optimally. 

Medical technology from ZEISS supports medical professionals in improving the lives of patients worldwide. The fact that our actions have a direct impact on people's well-being is what drives us every day. 

Thrive on innovation at a global technology leader. Develop exciting solutions in a diverse, stable work environment that’s focused on the future. Join us in a modern work environment with an open and inspiring culture and colleagues.

 

Your role

  • ensure the development and evolution of our Microsoft Azure big data platform to further strengthen any customer interaction worldwide 

  • build cloud solutions and services using big data technologies to extract and analyze data from medical devices and support our service organizations and its skilled service engineers 

  • developing algorithms and software tools for analyzing unstructured device data to generate insights for internal and external stakeholders. 

  • collaborate with Data Engineers and Data Scientists, product development, and country organizations 

  • extract and prepare data, apply solid analyses combined with vivid visualizations, and explain the insights and findings in an audience-orientated way 

  • work in various and versatile projects in parallel and get a chance to continuously improve your skills using latest technologies 

Your profile

  • a university degree, preferably in computer science, natural sciences, or engineering, paired with a passion for data 

  • 3+ years of professional experience in a Data Engineering, Data Science, or Data Analyst role 

  • demonstrated practice in Python, SQL, Bash Scripting, and a profound understanding of version control 

  • strong experience in working with Microsoft Azure or AWS 

  • the ability to effectively explain the relevant concepts and technologies with a strong passion in analyzing business needs together with the various stakeholders 

  • expert know-how in relevant ETL (e.g. Azure Synapse) and visualization tools (e.g. Power BI) 

  • adept knowledge in big data technologies (e.g. Apache Spark, Databricks, Azure Functions or AWS Lambda) 

  • very good communication skills in English (spoken and written) as well as in German (good spoken and written) 

Join us today. Inspire people tomorrow. 

Your ZEISS Recruiting Team:

Anne Sophie Günther

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The Company
HQ: Oberkochen
20,567 Employees

What We Do

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG. Data privacy: www.zeiss.com/data-protection Imprint: http://zeiss.com/publisher This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette

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