Data Engineer

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$100.00/hr - A$100.00/hr

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Initial contract until October 2026 with a strong chance of extension. Rate guidance is around $1000 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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• Strong 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 matt@retained.com.au.