Senior Data Engineer (GCP, Agentic)

NTT; Sydney; Hybrid; AUD 140,000 - 190,000; Part time

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

Role Title:Senior Data Engineer (GCP, Agentic AI)
Location:Norwest, NSW
Start Date:ASAP
Duration:12 Months Contract with high possibility of extension
Working Flexibility:Hybrid (3 days onsite)

NTT Data is seeking a highly skilledSenior Data Engineerto design, build, and scale enterprise-grade data products and cloud-native data platforms. This role will play a critical part in delivering trusted data solutions that support advanced analytics, reporting, AI/ML initiatives, Generative AI use cases, and emerging agentic workflow capabilities.
The successful candidate will bring strong expertise across Python, SQL, Google Cloud Platform (GCP), modern data engineering practices, orchestration technologies, and scalable ETL/ELT frameworks. Experience supporting AI-powered solutions and intelligent workflow automation will be highly regarded.

Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society?
Join our growing global NTT team and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future. We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. We believe it’s key to what makes us different. So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world. The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport. Together we enable the connected future.

Key Responsibilities

• Design, build, and maintain cloud-native data solutions within the GCP ecosystem.
• Develop high-quality, scalable, and maintainable solutions using Python and SQL.
• Build and optimise ETL/ELT frameworks and large-scale data processing pipelines.
• Implement orchestration and workflow automation solutions to support enterprise data platforms.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Develop data solutions that support AI, machine learning, Generative AI, and agentic workflows.
• Implement governance, monitoring, observability, security, and performance best practices across data products.

Skills & Experience

• Strong previous experience in Data Engineering within enterprise environments.
• Advanced Python development skills and strong SQL expertise.
• Hands-on experience with GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Composer.
• Strong understanding of data modelling, data warehousing, and distributed processing frameworks.
• Experience designing and supporting scalable ETL/ELT data pipelines.
• Knowledge of CI/CD, DevOps practices, and workflow orchestration technologies.
• Exposure to AI, Generative AI, API integrations, and agentic workflow architectures.

Questions? Reach out: [e-mail]