Senior Data Engineer (dbt & GCP)

Location: Australia; flexible hybrid working arrangements. Office location and attendance requirements to be confirmed.

Salary: AUD 160,000–180,000 per annum; circa AUD 180,000, with superannuation arrangements to be confirmed.

Company

hirify.global is a technology recruitment company working with a leading Australian financial institution investing in its Google Cloud data platform.

What you will do

• Lead the design of dbt architecture, reusable macros, packages, and testing frameworks.
• Build secure and scalable data pipelines using GCP, BigQuery, SQL, and Python.
• Design enterprise data models using Data Vault 2.0, dimensional modelling, and medallion architecture.
• Improve BigQuery performance and cost efficiency while implementing CI/CD automation, governance, and security controls.
• Mentor engineers and collaborate with architects and product owners on platform decisions and delivery practices.

Requirements

• Advanced production experience with dbt Core and/or dbt Cloud, including custom macros, packages, and testing.
• Strong GCP expertise with deep BigQuery knowledge, including partitioning, clustering, slot management, and cost optimization.
• Advanced SQL and Python skills, with experience in CI/CD pipelines and Git-based development.
• Strong understanding of Data Vault 2.0 and dimensional modelling.
• Experience implementing data governance and security controls in sensitive or regulated data environments.

Nice to have

• Banking or financial services experience.
• Exposure to Dataplex and Knowledge Catalog.
• Experience mentoring engineers and influencing technical standards across multiple teams.

Culture & Benefits

• Flexible hybrid working arrangements in Australia.
• Permanent full-time employment with long-term career progression.
• Ongoing learning and development.
• Opportunity to influence architecture and engineering standards across a large-scale enterprise data platform.
• Superannuation arrangements to be confirmed.