Data Engineer (m/f/x)

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

development algorithms and software tools for balancing unstructured device data to generate insights for internal and external stakeholders.

cooperation 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 enhance your skills using latest technologies

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 acceleration 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)