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

Henkel • Cleaning & Household Products • Chemical Manufacturing • 4 hours ago

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Salary

≈ $75k – $169k per year (Estimated)

Location

In office (Düsseldorf)

Seniority

Staff

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026. Henkel scores A on the Alion truth index.

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Henkel

Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

henkel.com • HQ: Düsseldorf, Germany • Hair Care Products • Cleaning & Household Products • FMCG & Consumer Brand Groups • Chemical Manufacturing • 1001-5000 employees • Est. 1876

Tech stack of Henkel

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

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