Senior Data Engineer (GCP) for AI-Driven Data Platforms

NTT

Sydney

Hybrid

AUD 140,000 - 190,000

Part time

20 hours ago
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Job summary

NTT Data is seeking a Senior Data Engineer to design, build, and scale enterprise-grade data products on Google Cloud Platform (GCP). You will develop scalable ETL/ELT pipelines using Python and SQL, implement orchestration and workflow automation, and collaborate with stakeholders to translate business needs into robust data solutions.

The role supports AI-powered initiatives and agentic workflows, emphasizing governance, observability, and security across data products.

Qualifications

  • Strong enterprise data engineering experience.
  • Advanced Python and SQL skills.
  • Hands-on with GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub).
  • Knowledge of data modelling and distributed processing.
  • Experience in scalable ETL/ELT pipelines.
  • Familiarity with CI/CD and DevOps practices.
  • Exposure to AI/Generative AI and agentic workflows.

Responsibilities

  • Design, build, and maintain cloud-native data solutions on GCP.
  • Develop scalable ETL/ELT pipelines using Python/SQL.
  • Implement orchestration and workflow automation for data platforms.
  • Collaborate with stakeholders to translate requirements into technical solutions.
  • Support AI-powered solutions and Generative AI workflows.
  • Ensure governance, monitoring, observability, and security.

Skills

Python
SQL
GCP
ETL/ELT pipelines
Data engineering
Orchestration
AI / Generative AI
Data modelling
CI/CD / DevOps
Security / governance

Tools

BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Cloud Functions
Cloud Storage

Job description

NTT Data is seeking a Senior Data Engineer to design, build, and scale enterprise-grade data products on Google Cloud Platform (GCP). You will develop scalable ETL/ELT pipelines using Python and SQL, implement orchestration and workflow automation, and collaborate with stakeholders to translate business needs into robust data solutions.

The role supports AI-powered initiatives and agentic workflows, emphasizing governance, observability, and security across data products.

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