GCP Data Engineer/Data Architect

NTT DATA Europe & Latam; Turbigo; On-site; EUR 60,000 - 80,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Data Architect to enable data-driven decision making. The role includes designing and building data processing systems while focusing on security, scalability, and efficiency.

The ideal candidate will have 5-10 years of experience in data engineering, a Bachelor's degree in Computer Science, and expertise in technologies such as Google Cloud Platform and SQL. The position is available across various locations including Milano, Bari, and Roma.

Qualifications

• At least 5-10 years’ experience in a data engineering role.
• Expertise in building cloud-native data pipelines.
• Strong knowledge of data technologies and data modeling.

Responsibilities

• Build large-scale batch and real-time data pipelines on GCP.
• Evaluate business needs and prioritize data management tasks.
• Participate in project planning and track activities.

Skills

Data engineering

Scala/Java/Python

Advanced SQL

Google Managed Services

Data modeling

Education

Bachelor’s degree in Computer Science or relevant field

Tools

GCP (Google Cloud Platform)

BigQuery

Hadoop

CICD tools

Job description

About the Role

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

The 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 understanding 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 Migration / Data Warehouse
• Intuitive thinking of how to organize, normalize, and store complex data, enabling both ETL and end users
• Passion for mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset
• Good understanding of developer tools, CICD etc
• Excellent communication, empathetic with end users and internal customers.

Nice-to-have

• Google Cloud Data Engineer Certification
• Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase
• Experience with Agile methodologies and DevOps principles

Location

Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino, Treviso, Pisa