Mapei has been included among Europe's best employers in the new Europe's Best Employers 2026 ranking published by the Financial Times in collaboration with Statista. A recognition that confirms, at an international level, the group's constant commitment to valuing people and building an inclusive, innovative work environment oriented towards growth.
The ranking, based on millions of evaluations collected from employees across Europe, rewards companies that stand out for the quality of their work environment, corporate culture, development opportunities and ability to attract and retain talent—elements that are increasingly central to business competitiveness.
Mapei's entry into this ranking represents a further recognition of the group's strategy, which has always placed its people at the center, promoting continuous training, safety, inclusion and organizational well-being.
“This recognition at the European level confirms the importance of the path we are pursuing as a group in valuing our people,” says Giuseppe Castelli, Group Corporate HR & Organization Director at Mapei. “Our commitment is to create every day a work environment capable of supporting growth, fostering engagement and strengthening the sense of belonging—elements that are fundamental to facing future challenges.”
In recent years, Mapei has consolidated its global positioning also thanks to structured HR policies and an organizational model based on innovation, social responsibility and skills development. The Financial Times recognition is complemented by other important results achieved in 2025, including its presence in the Forbes World's Best Employers ranking and among the Times World's Best Companies, testament to a consistent and continuous path.
With nearly 90 years of history and a presence in more than 50 countries, Mapei thus confirms its role not only as a global leader in building solutions, but also as a company capable of attracting and developing talent at an international level, contributing to the development of sustainable work models oriented towards the future.
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