Data Analytics Engineer

Henkel Ibérica • Biotechnology • Consumer Goods • Python • 3 days ago

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In office (New Cairo)

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 4, 2026. Henkel Ibérica scores B on the Alion truth index.

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Henkel Ibérica

Headquartered in Barcelona, Spain, Henkel Ibérica operates as the regional subsidiary of the global chemical and consumer goods conglomerate Henkel. The company manages a widespread portfolio of consumer brands and industrial products spanning adhesive technologies, beauty care, and laundry and home care. Operating multiple production facilities and research centers across the Iberian Peninsula, it supplies retail networks and manufacturing clients throughout Spain and Portugal.

henkel.es • HQ: Barcelona, Spain • Biotechnology • Cleaning & Household Products • Consumer Goods • 5000+ employees

Tech stack of Henkel Ibérica

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

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