data engineer / sql specialist

HR Partners

Maroochydore

On-site

AUD 166,000 - 240,000

Full time

14 days+

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Job summary

Randstad is partnering with a public sector client to fill a Data Engineer / SQL Developer role on a short-term contract based in Maroochydore, Sunshine Coast. The role focuses on building scalable data pipelines, creating complex SQL views, and enabling data-driven decision making within the Enterprise Data Management Platform.

Responsibilities include writing advanced SQL for cloud and on-prem data, designing pipelines, and collaborating with analysts to deliver trusted data with strong

Qualifications

  • Experience building and optimizing data pipelines across cloud/on-prem environments.
  • Strong SQL development and data modeling skills.
  • Knowledge of data governance, security, and integrity practices.

Responsibilities

  • Write complex SQL queries to extract, manipulate, and analyze data across both cloud and on-premise environments.
  • Design, build, and maintain scalable enterprise data pipelines to process and store data from diverse sources.
  • Develop complex data views tailored to business requirements while ensuring data integrity, security, and governance.
  • Collaborate closely with data analysts and BI professionals to transform and deliver accessible, high-quality data.

Skills

SQL
Azure
PySpark
Data pipelines

Tools

Azure DevOps

Job description

Randstad is currently working with a public Sector client to find a Data Engineer / SQL Developer on a short term contract until Nov 2026. This role is based in Maroochydore, Sunshine Coast.

Primary purpose of the role: Enhance the data-driven decision-making capabilities via the Enterprise Data Management Platform by building scalable enterprise data pipelines, extracting/transforming data, and managing complex SQL views.

Key Responsibilities:

  • Write complex SQL queries to extract, manipulate, and analyze data across both cloud and on-premise environments.

Design, build, and maintain scalable enterprise data pipelines to process and store data from diverse sources.

Develop complex data views tailored to business requirements while ensuring strict data integrity, security, and governance.

Collaborate closely with data analysts and BI professionals to transform and deliver accessible, high-quality data.

Utilize Azure cloud services, Azure DevOps, and PySpark notebooks to implement version control, CI/CD pipelines, and analytics workflows.

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