Gcp Data Engineer/Data Architect
Pubblicato il 02-09-2026 - Ntt Data in Bari
Job ID: a1J2p000009ipcjEAAPosted: 2026-07-06Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: GCP Data Engineer;GCP Data ArchitectWork Modality: Híbrido/FlexibleProcess: a072p00001MNAPHAA5Company: NTT DATA
Offer Description
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 with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, and flexibility and portability. The main mission of a Data Architect is to turn raw data into information, creating insights and business value.
Your contribution in this role:
- Build large-scale batch and real-time data pipelines with data processing frameworks in GCP cloud platform
- Use an analytical, data-driven approach to drive a deep understanding of fast changing business
- Work with the team to evaluate business needs and priorities,
liaise with key business partners and address team needs related to data systems and management
- Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering or relevant field
- At least 5 - 10 years’ experience in a data engineering role
- Expertise as a software engineering using Scala/Java/Python
- Experience in Advanced SQL skillset - preference on using BigQuery
- Good knowledge on Google Managed Services as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion
- Experience using workflow management
- Good understand of GCP Architecture batch and streaming
- Strong knowledge of data technologies and data modeling
- Expertise on building modern, cloud-native data pipelines and operations, with an ELT philosophy
- Experience with Data Migrat