Data Engineer

Overview

Our Client in the Education sector is looking for a Data Engineer to join them on a large data uplift project.

Base pay range: A$100.00/hr - A$100.00/hr

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.

Responsibilities

• Design and implement data pipelines and integrations in complex enterprise environments.
• Hands‑on work with Azure Data Lake, Databricks, DBT Cloud, Postgres, and Dataverse.
• Lead data integration and migration processes, including transformation optimisation, validation, and reconciliation.
• Develop and support integrations using Boomi and Kafka.
• Collaborate with business and technical stakeholders, including Enterprise Architecture, Information Security, and Governance Groups.

Qualifications

• Minimum 3+ years’ experience designing and implementing data pipelines and integrations in complex enterprise environments.
• Proficiency in SQL, Python, and PySpark for analytics and operational systems.
• Experience with version control tools such as Git or Azure DevOps.
• Strong documentation, communication, and presentation skills for diverse audiences.
• Experience working in Agile or hybrid delivery environments.

Nice to Have

• Experience with metadata and governance platforms (e.g., Alation, Collibra, Purview).
• Knowledge of API‑based data exchange patterns relevant to modern data integrations.
• Familiarity with data governance frameworks and implementation of data quality processes.
• Experience embedding change management and version control of data pipelines in large‑scale migration programs.
• Exposure to incident response and operational support practices.

Apply

If this role is of interest, please apply or send your resume to [email protected].