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Data Engineer

South Australia, Australia💼 Full-time🗓 2026-06-03 → 2026-08-11

Core

Designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and reporting use cases.

Role type

Senior Data Engineer

Builds

End-to-end ETL/ELT data pipelines and in-house data processing frameworks

Domain

Banking / Cloud Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

PySpark, Python, SQL, Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Storage, Azure DevOps, PowerShell

Preferred skills

Power BI, automated testing, Git, mentorship

Technologies

Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Storage, Azure DevOps, PySpark, Python, PowerShell

Responsibilities

Develop and enhance in-house PySpark frameworks; Build, test, and implement ETL/ELT pipelines; Monitor batch operations on the Data and Insights Platform; Provide mentorship to junior team members; Liaise with stakeholders to deliver data-driven solutions.

Seniority

Senior, hands-on IC

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