GCP Data Engineer/Data Architect (Pisa)

GCP Data Engineer/Data Architect (Pisa)

03 set
|
Ntt Data
|
Pisa

03 set

Ntt Data

Pisa

Job ID: a1J2p000009ipcjEAAPosted: 2026-07-06

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Location: Milan, Roma, Turin, Pisa, Napoli, Treviso, Cosenza, Bari, Salerno, Bologna, Italia
Specialization
- GCP Data Engineer
- GCP Data Architect

Work ModalityHíbrido/Flexible
Processa072p00001MNAPHAA5
CompanyNTT DATA
Offer DescriptionA 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, operationalise, 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

RequirementsThe ideal profile
- 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 tech

📌 GCP Data Engineer/Data Architect (Pisa)
🏢 Ntt Data
📍 Pisa

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