Job Description
Senior Data Engineer (dbt & GCP) Data & AI Australia
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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.
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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.
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This is a permanent, full-time opportunity focused on building high-performance data products, automation, governance, and technical capability across engineering squads.
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They offer a flexible hybrid working model across Adelaide, Bendigo, Brisbane, Melbourne, and Sydney, with strong opportunities for technical leadership and development.
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Responsibilities:
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Lead technical design and best practices across dbt projects
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Build scalable GCP data pipelines using BigQuery and GCS
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Develop reusable dbt macros, packages, and modular SQL/Python models
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Drive automated testing and Git-based CI/CD pipelines
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Optimise BigQuery performance, scalability, and cost
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Implement security controls for sensitive banking data
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Mentor engineers and lead technical reviews
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Experience:
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Advanced production experience with dbt Core/Cloud
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Strong GCP and BigQuery engineering experience
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Advanced SQL and Python skills
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Strong Data Vault 2.0 and dimensional modelling experience
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Experience with CI/CD, Git, and infrastructure-as-code principles
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Understanding of BigQuery security, data governance, and PII/KYC controls
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Solid technical leadership and mentoring capability
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Salary
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They offer a competitive salary package aligned with experience and market rates.
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Location
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Adelaide (Hybrid)
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Applications are welcome from Senior Data Engineers with strong dbt, GCP, BigQuery, and modern data engineering experience.

📌 Senior Data Engineer (South Australia)
🏢 Pearson Carter
📍 South Australia