Data Engineer
Role details
Job location
Tech stack
Requirements
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a university degree, preferably in computer science, natural sciences, or engineering, paired with a passion for data
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3+ years of professional experience in a Data Engineering, Data Science, or Data Analyst role
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demonstrated practice in Python, SQL, Bash Scripting, and a profound understanding of version control
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strong experience in working with Microsoft Azure or AWS
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the ability to effectively explain the relevant concepts and technologies with a strong passion in analyzing business needs together with the various stakeholders
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expert know-how in relevant ETL (e.g. Azure Synapse) and visualization tools (e.g. Power BI)
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adept knowledge in big data technologies (e.g. Apache Spark, Databricks, Azure Functions or AWS Lambda)
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very good communication skills in English (spoken and written) as well as in German (good spoken and written)
About the company
ZEISS is technology, optics and innovation. We develop, manufacture and sell highly innovative products and solutions for our customers in a variety of business fields. As one of the world’s top technology companies with a portfolio aligned with future growth areas like digitalization, healthcare and Smart Production, and a strong brand to boot, ZEISS is shaping the future far beyond the optics and optoelectronics industries. The company’s significant, sustainable investments in research and development lay the foundation for the success, continued expansion and market leadership.
