Senior Data Engineer - dbt, GCP & BigQuery Lead (Hybrid)

Pearson Carter; Adelaide; Hybrid; AUD 140,000 - 180,000; Full time

Job summary

Pearson Carter is seeking a Senior Data Engineer to join a leading Australian bank's Data & AI team. You will anchor GCP Lakehouse designs, drive dbt standards, and build scalable analytics pipelines across BigQuery and GCS in a hybrid Australia-wide setup.

This permanent role emphasizes security, governance, and mentorship, offering strong leadership opportunities and exposure to enterprise data products in a modern data platform.

Qualifications

• 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.

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

Skills

dbt Core/Cloud

GCP / BigQuery

SQL

Python

Data Vault 2.0

Dimensional Modelling

CI/CD

Git

IaC

Security & governance

Tools

dbt Core/Cloud

Google Cloud Platform

BigQuery

GCS

Terraform / IaC

Git

CI/CD tooling

Job description

Pearson Carter is seeking a Senior Data Engineer to join a leading Australian bank's Data & AI team. You will anchor GCP Lakehouse designs, drive dbt standards, and build scalable analytics pipelines across BigQuery and GCS in a hybrid Australia-wide setup.

This permanent role emphasizes security, governance, and mentorship, offering strong leadership opportunities and exposure to enterprise data products in a modern data platform.