Data Engineer: Build Scalable Pipelines & AI-Driven Quality

IAG; Canterbury-Bankstown; Ibrido; AUD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Superannuation 13%

Leave: 20 days + 5 MyLeave

WFH & flexibility

Insurance discount 50%

Partner health/tech discounts

Parental leave 20 weeks

Learning & development

Descrizione del lavoro

IAG is seeking a Data Engineer to design, build, and optimise scalable data solutions using GCP and dbt, enabling smarter decision‑making across the business.

You'll work with stakeholders and our Data Product team to translate business requirements into impactful data products, ensure quality, and automate processes in a modern tech stack. This permanent role offers a flexible hybrid work model near major centres in Australia and New Zealand.

Competenze

• 2–5 years in data engineering or analytics engineering.
• Intermediate skills in SQL, Python, and DBT.
• Experience with BigQuery and Google Cloud Platform.
• Experience implementing AI‑driven data testing, optimisation, and governance tools.
• Familiar with Agile methodologies and DevOps, including CI/CD and Git.

Mansioni

• Monitor data pipelines and data products to ensure accurate, timely data for business users.
• Optimize data models and pipeline orchestration for reliability and performance.
• Investigate data quality issues, identify root causes and implement sustainable solutions.
• Manage releases and deployments across higher environments with change governance.
• Communicate release activities, risks and outcomes to stakeholders and coordinate follow-ups.
• Create and maintain accurate technical, operational and support documentation.

Conoscenze

Analytical thinking

Problem solving

Agile methodologies

DevOps practices

Strumenti

SQL

Python

DBT

BigQuery

Google Cloud Platform

Git

CI/CD pipelines

AI data testing

Descrizione del lavoro

IAG is seeking a Data Engineer to design, build, and optimise scalable data solutions using GCP and dbt, enabling smarter decision‑making across the business.

You'll work with stakeholders and our Data Product team to translate business requirements into impactful data products, ensure quality, and automate processes in a modern tech stack. This permanent role offers a flexible hybrid work model near major centres in Australia and New Zealand.