Azure Data Engineer II - Agentic AI Platform

We digitize decisions with data—would you like to get involved?We shape our customers' data-driven future with scalable, secure, and automated Azure platforms. As a Professional Data Platform Engineer, you will be responsible for complex data pipelines: from zero-ETL replication of operational data (mirroring) to Delta Lake-based lakehouses. Our vision: self-service data access for all departments, supported by DataOps and governance.Tasks & Responsibilities:Planning, development, and maintenance of robust batch and streaming pipelines with Azure Data Factory, MS Fabric and DatabricksIntegration of new Azure features such as mirroring (zero ETL), Delta Live Tables, and Unity Catalog for centralized governanceAutomation of deployments and testing using CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code (Bicep/Terraform)Ensuring data quality, lineage, and security—using Microsoft Purview and role-based access controlCollaborating with data scientists, product owners, and customers to translate requirements into scalable data solutionsEvaluating new services such as Lakeflow or Microsoft Fabric for productive useWhat we offer youFlexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany)State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniorsTargeted further training: Working hours for training, certifications, and mentoringInnovation space: Opportunity to test new tools and frameworks and develop proof-of-conceptsDiversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to usReal influence: You can help shape technology decisions and contribute your ideas directly to product roadmapsIf you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning-oriented team culture, we look forward to receiving your application! Requirements2–5 ye