Lead Data & Analytics Engineer (d/f/m)

About this Position What you´ll do Provide hands-on technical leadership and end-to-end ownership for the design, engineering and delivery of enterprise data and analytics solutions in our Business Unit DX (It) Lead the modernization and optimization of strategic analytical applications, semantic models and data products, driving their evolution from Azure Synapse and Azure Analysis Services to Databricks Lakehouse, Microsoft Fabric, Enterprise Semantic Models and Data Mesh-enabled analytics capabilities while improving scalability, performance and business value Define and implement engineering standards, solution patterns and delivery practices aligned with business objectives, enterprise architecture principles and analytics platform strategy Establish and promote best practices for DataOps, CI/CD, automation and self-service analytics to enable scalable, reliable and efficient solution delivery Evaluate emerging technologies, platform capabilities and engineering practices and use of AI-based tools to drive innovation across Henkel's Data, Analytics and AI landscape Collaborate with business, engineering and platform teams to ensure the successful delivery of high-quality, scalable and business-driven analytics solutions