SummaryAbout KeringKering is a global, family-led luxury group, home to people whose passion and expertise nurture creative Houses across couture and ready-to-wear, leather goods, jewelry, eyewear and beauty: Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni,
Job ID: a1JKA000000Uc7y2ACPosted: 2026-09-18Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: Azure Cloud ArchitectProcess: a072p00001MnoFTAAZCompany: NTT DATAOffer DescriptionCerchiamo Cloud Architect con consolidata esperienza nella progettazione di soluzioni su Microsoft Azure e una buona conoscenza degli
Job ID: a1J2p ipcKEAQPosted: Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: BigdataWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionData Intelligence è larea di NTT DATA Italia focalizzata nellestrarre valore dai dati, è
Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than
Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than
Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than
Our Businessteam.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group, with a team of more than 3,000
A Data Architect is an IT expert who enables data‑driven decision making by collecting, transforming, and publishing data. At NTT Data, a Data Architect should be able to design, build, operationalize, secure, and monitor data processing systems