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 Catalog Cross-project technical management: Harmonizing architectures, managing resources, monitoring quality standards and costs Evaluating innovative Azure features (LakeFlow, AI-powered pipeline designers, Fabric integrations) for productive use Conducting risk and compliance assessments; responsibility for data protection, security, and governance Leading and coaching teams; building a learning-oriented culture Active participation in pre-sales and strategic consulting; presenting solutions to C-level stakeholders What we offer you Flexible 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 juniors Targeted further training: Working hours for training, certifications, and mentoring Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us Leadership influence : You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team If 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! Requirements 7+