Product Owner Data Products

As a highly motivated and detail-oriented candidate, you will be responsible for owning the data product layer of the Enterprise Datalake in an Azure and Databricks environment. Your main tasks will include: - Driving and owning the further development of the data product layer to meet user and internal needs. - Aligning with local and global stakeholders to ensure scalability, reliability, and security of the platform. - Ensuring high quality of services and initiating improvement measures. - Staying updated on the latest technologies and trends in the big data and data mesh domain. - Acting as the point of contact for new demands and requests from business customers. - Collaborating with data product owners and user teams to understand data requirements and provide suitable solutions. - Testing new features and improvements, suggesting implementations if beneficial. - Demonstrating fluent communication skills in English (spoken and written). Qualifications required for this role include: - Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields. - Minimum 3-4 years of working experience as a Product Owner, Project Manager, or Business Consultant in data-focused domains. - Minimum 3-4 years of working experience as a Data Engineer using cloud platforms like Azure Databricks, Azure Synapse, or others. - Experience in Agile way of working with a DevOps mindset. - In-depth knowledge of Lakehouse or Data Mesh concepts, ideally on Azure Databricks or Synapse platform. - Strong requirements engineering and backlog management skills. - Experience with managing projects and tasks through Azure DevOps or similar tools. - Comfortable with customer-facing roles, leading, and managing teams or projects. - Solid understanding of SQL, database technologies, data modeling, and Business Intelligence. Additional skills that would be a plus for this role include experience with Azure Data bricks, Azure Datafactory, Azure Synapse, application of AI tools in data solutions, PowerBI, integration knowledge, experience with data cataloguing tools like Collibra or Unity Catalog, and strong interpersonal, written, and verbal communication skills. As a highly motivated and detail-oriented candidate, you will be responsible for owning the data product layer of the Enterprise Datalake in an Azure and Databricks environment. Your main tasks will include: - Driving and owning the further development of the data product layer to meet user and internal needs. - Aligning with local and global stakeholders to ensure scalability, reliability, and security of the platform. - Ensuring high quality of services and initiating improvement measures. - Staying updated on the latest technologies and trends in the big data and data mesh domain. - Acting as the point of contact for new demands and requests from business customers. - Collaborating with data product owners and user teams to understand data requirements and provide suitable solutions. - Testing new features and improvements, suggesting implementations if beneficial. - Demonstrating fluent communication skills in English (spoken and written). Qualifications required for this role include: - Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields. - Minimum 3-4 years of working experience as a Product Owner, Project Manager, or Business Consultant in data-focused domains. - Minimum 3-4 years of working experience as a Data Engineer using cloud platforms like Azure Databricks, Azure Synapse, or others. - Experience in Agile way of working with a DevOps mindset. - In-depth knowledge of Lakehouse or Data Mesh concepts, ideally on Azure Databricks or Synapse platform. - Strong requirements engineering and backlog management skills. - Experience with managing projects and tasks through Azure DevOps or similar tools. - Comfortable with customer-facing roles, leading, and managing teams or projects. - Solid understanding of SQL, database technologies, data modeling, and Business Intelligence. Additional skills that would be a plus for this role include experience with Azure Data bricks, Azure Datafactory, Azure Synapse, application of AI tools in data solutions, PowerBI, integration knowledge, experience with data cataloguing tools like Collibra or Unity Catalog, and strong interpersonal, written, and verbal communication skills.