Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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You will play a crucial role in shaping the future of Data Analytics and actively contribute to the success of the digital transformation at ZEISS. In this challenging function, you will help our business units to identify and develop strategic data-driven use case opportunities.
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As a Cloud Solution Architect at ZEISS Digital Partners, you will be part of the Data Enablement team, driving the strategic and technical design of cloud-based solutions by also utilizing On-Premises tools
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Contribute to our team's mission of enabling and supporting ZEISS to become more data-driven, design and create valuable data products and transform ideas into impactful solutions
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You will closely collaborate with stakeholders and technical teams, to serve as a catalyst for the development of sustainable data products and promote a data-driven culture
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Drive the strategic and technical design of cloud-based solutions, utilizing both cloud and On-Premises tools
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Enhance the architecture of the Enterprise Analytics Platform, including Microsoft Fabric
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Ensure seamless integration across the system landscape, empowering product teams to operate autonomously
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Develop concepts for data platforms, data domains, and analytical data products
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Drive strategic initiatives by planning and managing the architecture, overseeing implementation, and ensuring smooth technical operations across various integration scenarios
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Guide Data Engineers and small product teams in creating impactful solutions that align with business goals
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Drive and develop Communities of Practices, coordinate technical councils, and initiatives to foster a culture of innovation
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An excellent university degree, preferably in computer science, natural sciences, or engineering, paired with a passion for data and the potential behind this
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At least 7 years of professional experience in a similar position (E.g. Senior Data Engineer)
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Professional experience in technical project management and requirement engineering
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Extensive experience in designing and implementing cloud-based solutions on platforms such as Azure, AWS, or Google Cloud
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Strong experience in developing and deploying ETL/ELT data flows.
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Distinguished capabilities in developing and deploying ETL/ELT data flows.
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Experience with containerization technologies, particularly Docker.
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Expertise in understanding business operations to ensure cost-efficient execution of cloud solutions.
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Know-how in scaling up and managing technical communities, with a passion for exploring new technologies.
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Strong communication skills in English and German, capable of engaging effectively with developers, stakeholders, and management.