Your Role & Responsibility:

You will play a crucial role in shaping the future of the company’s Data Discovery, Enterprise Data Management framework and actively contribute to the success of the digital transformation at ZEISS. In this challenging technical role, you will be part of a team that focuses on identifying, structuring and operationalizing metadata extraction, create transparency about data, make it searchable and implement data requests through data marketplace across different business domains at ZEISS. You will help develop these solutions from inception to launch working closely together in co-located projects with the ZEISS business units as well as our Architecture & Engineering functions at ZEISS Digital Partners. With your team and your fellow colleagues, you will boost our capability to stay on top of digital innovation and make sure that business decisions that make use of data are made in the interest of ZEISS as well as our customers.

Your direct roles and responsibilities are:

- You will be responsible for implementing data discovery use cases through the Data Cataloging tool

- You will onboard metadata, you will describe it or map it to standardized definitions, co-design and develop metadata visualizations to support the operational and analytical data ecosystem of the company and offer the basis for strategic projects

- You will model the data according to business requirements on conceptual, logical and physical layers and create data flows to show the circulation and dependency between different data layers

- You will present the results of your data cataloging efforts in continuous manner to multiple stakeholder groups

- You will implement different operationalization workflows for data requests and interactions

- You will support the implementation of different visualization facets of data catalog areas for various user groups

- You will support the operationalization of data changes through the data catalog

- You will cooperate with different enterprise groups (Data Governance, Enterprise Architecture, Data Platform, Reporting, IT Systems) in order to rightfully reflect the different data ecosystems

- You will work in an Agile environment in close collaboration with architects, engineers, product owners, and multiple data management relevant teams across ZEISS, as well as business counterparts

- You will strive to learn and improve consistently and share your technical expertise with your colleagues via Community of practice, conferences, or similar events

Your profile

University degree in computer science, business informatics, mathematics or in a related fieldPrevious 3-5 years position / experience in data related field (engineering, analyst)Knowledge of metadata solutions and data modelling perspectives (conceptual / logical / physical)Good interpretation of business requirements and their technical representationPrevious experience with working on data projects with stakeholdersBasic-medium knowledge of Java codingStrong communication and presentation skillsExperience with any Data cataloging tool (Nice to have)Good understanding of storage formats (Databases, Data Lake File Format)Some level of experience in using BI Reporting Solutions (PowerBI, SAC)A solution-driven, conscientious, and collaborative way of workingFluency in English

Your ZEISS Recruiting Team:

Bartha Györgyi, Bartók Tímea, Fedor Fanni, Meláth Laura, Sturcz Noémi, Sztaskó Daniella, Wenner Lili