• 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 

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field 
• 3–5 years of experience in data engineering / analytics engineering 
• Strong hands-on experience with Python & PySpark, Databricks (highly preferred), SQL & data modeling (dimensional modeling is a plus) 
• Experience building and maintaining analytical models / semantic layers (e.g., cubes, tabular models, Analysis Services, Power BI models) 
• Familiarity with Spark-based data processing frameworks 
• Experience working with Git and collaborative development workflows (CI/CD is a plus) 
• Strong understanding of end-to-end data pipelines and data lifecycle 
• Interest or experience in AI-driven development (GenAI, copilots, automation tools) 

• Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Global wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Comprehensive Health Insurance for employee + dependents
• Employee Assistance Programme provides a wide range of mental health and wellbeing benefits

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.