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

What makes you a good fit

• Master’s Degree in Computer Science, Engineering or Data Science
• 5+ years of experience in Data, Analytics and AI, delivering enterprise-scale data products and data-driven solutions
• Strong hands-on expertise with Databricks (PySpark, Delta Lake, Lakehouse Architecture) and Microsoft Fabric (OneLake, Data Engineering, Power BI), as well as SQL and Python
• Proven experience building and scaling Data & Analytics platforms, including Data Mesh, Data Products, semantic models and KPI governance
• Fluent in English; German is a plus

Some perks of joining Henkel

• 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
• Company Pension Plan 100% financed by Henkel
• MEGA Preventive Health Insurance
• CareFlex Supplementary Care Insurance
• Mobility offer: My Henkel Bike and Jobticket

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 welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.

Note: The email address you provide during the application process may also be used in later stages (e.g. for contract execution via digital tools). Please ensure that only you have access to this mailbox and that you can securely receive confidential information through it.