Senior Data Engineer (dbt & GCP) Data & AI Australia

Pearson Carter are currently working with a leading Australian banking organisation undergoing a major technology and data transformation. Their Data & AI Engineering team is building modern, secure, and scalable enterprise data products across Google Cloud.

Due to continued growth, they are looking to hire a Senior Data Engineer to act as a technical anchor across their GCP Lakehouse, driving modern analytics engineering standards using dbt and BigQuery.

This is a permanent, full-time opportunity focused on building high-performance data products, automation, governance, and technical capability across engineering squads.

They offer a flexible hybrid working model across Adelaide, Bendigo, Brisbane, Melbourne, and Sydney, with strong opportunities for technical leadership and development.

Responsibilities:

Lead technical design and best practices across dbt projects

Build scalable GCP data pipelines using BigQuery and GCS

Develop reusable dbt macros, packages, and modular SQL/Python models





Drive automated testing and Git-based CI/CD pipelines

Optimise BigQuery performance, scalability, and cost

Implement security controls for sensitive banking data

Mentor engineers and lead technical reviews

Experience:

Advanced production experience with dbt Core/Cloud

Strong GCP and BigQuery engineering experience

Advanced SQL and Python skills

Strong Data Vault 2.0 and dimensional modelling experience

Experience with CI/CD, Git, and infrastructure-as-code principles

Understanding of BigQuery security, data governance, and PII/KYC controls

Strong technical leadership and mentoring capability

Salary They offer a market-competitive salary package aligned with experience and market rates.

Location Adelaide (Hybrid)

Applications are welcome from Senior Data Engineers with strong dbt, GCP, BigQuery, and modern data engineering experience.

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📌 Senior Data Engineer (Adelaide)
🏢 Pearson Carter
📍 Adelaide