🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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 & Qualified 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 .