GDB/ZE - Product Owner Data Products (M/F/D)

Main tasks
Drive and own the further development of the data product layer of our Enterprise Datalake to meet both user and internal needs. 
Align with local and global stakeholders to ensure the platform's scalability, reliability and security
Together with your team ensure high quality of the services you are responsible for and initiate improvement measures as well as functionality
Stay abreast of the newest technologies and trends in the big data and data mesh domain
Act as the point of contact for new demands and requests from business customers looking to consume data from our Enterprise Datalake in the form of Data Products
Collaborate with data product owners and user teams to understand their data requirements and provide suitable solutions.
Test new features as well as improvements and suggest implementation if beneficial
Demonstrate fluent communication skills in English (spoken and written)  

Job Requirements 
minimum requirement to carry out the work - you might want to point out "additional plus/nice to have skills" that are not mandatory

Education    
Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.

Work experience    
Minimum 3-4 years related working experience as a Product Owner, Project Manager or Business Consultant in data focused domains 
Before that minimum 3-4 years related working experiences as a Data Engineer using cloud platforms like Azure Databricks, Azure Synapse or others
Technical & Professional Knowledge (mandatory)    
Experience in an Agile way of working with a DevOps mindset
In-depth know how with Lakehouse or Data Mesh concepts ideally on Azure Databricks or Synapse platform, other platforms also welcome
Strong requirements engineering and backlog management skills
Experience with managing projects and tasks through Azure DevOps or similar tools
Comfortable with customer facing roles and with leading and managing teams or projects
Coming from a data engineering background having solid understanding of SQL, database technologies, data modelling and Business Intelligence area

Technical & Professional Knowledge (additional plus/nice to have skills)

Experience with Azure Databricks, Azure Datafactory, Azure Synapse 
Ideally, application of AI tools in any phase of the lifecycle of data solutions 
PowerBI as one of the main tools of our users
Integration knowledge, how metadata can be exchanged with other applications
Experience with data cataloguing tools e.g. Collibra or Unity Catalog
Team player with strong interpersonal, written, and verbal communication skills