AI Data Engineer
Pubblicato il 15-10-2026 - Sofidel in Porcari
Sofidel, headquartered in Porcari (Lucca), is a global leader in tissue paper production. With operations in 12 European countries and 12 U.S. States, we employ over 9,500 people dedicated to innovation, sustainability, and inclusivity. Our products—such as toilet paper, paper towels, and napkins—are distributed in more than 50 countries. We own well-known brands including Regina, Nicky, Sopalin, Le Trèfle, Hakle, Softis, Nalys, Cosynel, and KittenSoft, and also produce for private-label retailers. Through the Papernet brand, we serve the Away-from-Home sector, providing quality solutions for businesses and public spaces. Wherever you are, Sofidel is there, bringing comfort, quality, and sustainability to everyday life PURPOSE To contribute to the development and enhancement of the Corporate Data Platform and data components developing and maintaining the company's data integration and management solutions and ensuring that data from business and manufacturing systems is collected, transformed, and made available in a reliable, secure, and efficient way.
MAIN RESPONSIBILITIES * Design, develop, and maintain data integration pipelines (ETL/ELT) to collect and process data from business and manufacturing systems. * Integrate data from multiple sources, including databases, ERP systems, factory systems, files, APIs, and other applications. * Develop and maintain data models and structures supporting reporting, analytics, and AI solutions. * Ensure data quality, accuracy, consistency, reliability, and availability across the corporate data ecosystem. * Monitor data workflows and proactively resolve performance issues, failures, and data inconsistencies. * Support the development, optimization, and maintenance of the Company's Data Platform and data services supporting the Agent Platform. * Collaborate with business stakeholders, IT teams, vendors, and Data/AI specialists to deliver effective data solutions. * Implement and follow data governance, security, and best prac