Lead Azure Data Engineer - Agentic AI Platform

We digitize decisions with data—would you like to get involved?As Lead Data Platform Engineer, you define the technical vision and strategy for data-driven platforms on Azure. You coordinate multiple projects, develop reference architectures, and ensure governance, compliance, and sustainability. With your expertise, you help ensure that our solutions provide the best foundation for AI and analytics initiatives.Tasks & Responsibilities:Development and implementation of the lakehouse strategy: Defining standards, roadmaps, and best practices for Fabric, Delta Lake, mirroring, and Unity CatalogCross-project technical management: Harmonizing architectures, managing resources, monitoring quality standards and costsEvaluating innovative Azure features (LakeFlow, AI-powered pipeline designers, Fabric integrations) for productive useConducting risk and compliance assessments; responsibility for data protection, security, and governanceLeading and coaching teams; building a learning-oriented cultureActive participation in pre-sales and strategic consulting; presenting solutions to C-level stakeholdersWhat 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 usLeadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing teamIf 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! Requirements7+ years of