Our client, a leading government department, is seeking an experienced Data Engineer to join their ICT Digital Solutions team. This role will play a key part in a large-scale digital transformation, ensuring the scalability, security, and efficiency of data solutions that support critical Vocational Education and Training (VET) IT systems.

This is an exciting opportunity to work on high-impact data projects that shape the future of digital services in the public sector.

About the Role

As a Data Engineer, you will be responsible for designing and implementing data pipelines, architectures, and analytics solutions within a hybrid cloud environment. Working closely with cross-functional teams, you will contribute to both operational data management and transformation initiatives.

You will play a pivotal role in:

• Developing and managing scalable data solutions using Microsoft Fabric and Azure technologies
• Building and optimizing data pipelines for ingestion, transformation, and storage within Fabric Lakehouses / Delta Lakes
• Ensuring data integrity, security, and governance compliance
• Supporting advanced analytics through data preparation for machine learning models
• Collaborating with key stakeholders to align data solutions with business reporting and analytics objectives
• Implementing DevOps best practices for CI/CD in data engineering

Key Responsibilities

🔹 Design, implement, and maintain robust, scalable, and secure data pipelines
🔹 Optimize SQL queries for performance tuning and database management
🔹 Monitor and troubleshoot data pipeline performance issues
🔹 Ensure a smooth transition of data solutions from project implementation to BAU operations
🔹 Work closely with stakeholders to identify and implement data management improvements
🔹 Mentor and support team members on data engineering tools and best practices

What We're Looking For

• 3+ years of experience in data engineering within Azure environments
  Strong expertise in Azure Synapse, data lakes, SQL-based tools (SSIS, SSRS), and PySpark
• Experience in data pipeline development, ETL processes, and cloud-based data management
• Advanced SQL skills with a focus on query optimization and database integration
  Knowledge of data governance, security, and compliance best practices
• Exposure to machine learning and statistical models for advanced analytics
• Familiarity with Data Modeling (conceptual, logical, and physical)

Nice to Have

• Microsoft Azure Data Engineer Associate certification (or equivalent)
• Experience with Power BI, Dynamics 365, and Dataverse
• Understanding of DevOps/CI-CD for data pipelines

Why Work with Our Client?

• High-impact role within a government digital transformation program
• Work with cutting-edge Azure & Microsoft technologies
• Career development opportunities in a collaborative team
• Competitive salary with flexible work arrangements

This is a fantastic opportunity for a Data Engineer looking to work on meaningful projects that drive digital innovation in the public sector.

🔹 Interested? Apply now to learn more about this exciting opportunity!

Rowan Mollison
Senior Consultant, Experis

ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

By submitting your resume and other personal information with this application you are consenting to this information being collected in line with our privacy policy. Follow the link to learn more - www.manpowergroup.com.au/privacy-policy

Experis Pty Ltd is a wholly owned subsidiary of ManpowerGroup

State: QLD, licensee/s Manpower Services (Australia) Pty Ltd, LHL-02026-D5L4Q. State: QLD, licensee/s Experis Pty Ltd, LHL-02014-Y5F6D. State: SA, licensee/s Manpower Services (Australia) Pty Ltd, LHS 288856