Data Analytics Engineer
Summary
Data Analytics Engineer at Henkel designing and building scalable data assets and analytical solutions. Core technologies include Azure Analysis Services, Databricks, Python, Spark, and AI-powered tools like Copilot and Genie.
About this Position In this role, you will design and build scalable data assets and analytical solutions that enable data-driven decision-making across BI Team. What you´ll do Design, build, and maintain analytical data models and cubes (e.g., Azure Analysis Services / semantic models) to support reporting and advanced analytics Develop scalable data pipelines on Databricks using Python and Spark to transform raw data into trusted data assets Build and manage end-to-end data assets, from ingestion to curated datasets ready for BI consumption Ensure data quality, consistency, and performance optimization across analytics solutions Collaborate closely with business stakeholders, analysts, and data teams to translate requirements into scalable solutions Contribute to modern analytics architecture, best practices, and reusable frameworks Leverage AI-powered tools (e.g., Copilot, Genie, LLM-based solutions) to improve development efficiency and explore new use cases Continuously explore new technologies and proactively drive improvements within the data landscape