Job ID: a1J2p000009ipcFEAQPosted: 2026-08-04Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: Azure Data EngineerWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionThe Azure Data Engineer in NTT Data knows the challenges of a cloud native environment.
Job ID: a1J2p000009ipcAEAQPosted: 2026-08-04Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: Azure Data ArchitectWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionA Data Architect is an IT expert who enables data‑driven decision making by collecting,
The Azure Data Engineer in NTT Data knows the challenges of a cloud native environment. Is able to think outside the box finding innovative, yet simple, solutions to every day issues, and share those solutions with the
Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered
Job ID: a1J2p000009ipbgEAAPosted: 2026-03-23Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: AWS Data ArchitectWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionYour role as an AWS Data Architect in NTT Data will be supporting
Job ID: a1J2p000009awdYEAQPosted: 2026-08-04Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: Bigdata;AWS;Spark;GCP;Data Engineer;GCP Data Engineer;AWS Data Engineer;Azure Data Engineer;GCP Data Architect;AWS Data Architect;Azure Data ArchitectWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATAOffer DescriptionThe Databricks Expert in
Job TitleDigital Solution Architect About the RoleJob purposeThe Data Engineer is accountable for the design, implementation and release from an IT perspective of modern data applications and pipelines of running projects as well as new initiatives in