Job Description
Overview
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Our Client in the Education sector is looking for a Data Engineer to join them on a large data uplift project.
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Base pay range: A$******/hr - A$******/hr
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Initial contract until October **** with a strong chance of extension. Rate guidance is around $**** inc super. 3 days on site & 2 days WFH p/w.
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Responsibilities
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Design and implement data pipelines and integrations in complex enterprise environments.
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Hands‐on work with Azure Data Lake, Databricks, DBT Cloud, Postgres, and Dataverse.
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Lead data integration and migration processes, including transformation optimisation, validation, and reconciliation.
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Develop and support integrations using Boomi and Kafka.
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Collaborate with business and technical stakeholders, including Enterprise Architecture, Information Security, and Governance Groups.
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Qualifications
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Minimum 3+ years' experience designing and implementing data pipelines and integrations in complex enterprise environments.
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Proficiency in SQL, Python,



and PySpark for analytics and operational systems.
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Experience with version control tools such as Git or Azure DevOps.
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Robust documentation, communication, and presentation skills for diverse audiences.
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Experience working in Agile or hybrid delivery environments.
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Nice to Have
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Experience with metadata and governance platforms (e.g., Alation, Collibra, Purview).
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Knowledge of API‐based data exchange patterns relevant to modern data integrations.
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Familiarity with data governance frameworks and implementation of data quality processes.
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Experience embedding change management and version control of data pipelines in large‐scale migration programs.
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Exposure to incident response and operational support practices.
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Apply
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If this role is of interest, please apply or send your resume to
******.
#J-*****-Ljbffr

📌 Data Engineer (Queensland)
🏢 Retained
📍 Queensland