Join an Innovative Data & Analytics Team as a Data Engineer - ICT

Are you passionate about transforming data into actionable insights that drive organisational success? Do you thrive in dynamic environments where your technical expertise can make a real impact? We are seeking a talented and driven Data Engineer to be a key contributor within an ICT modernisation initiatives. In this vital role, you will help build and maintain a robust Enterprise Data Platform, supporting large-scale data modernisation and transformation programs. Your expertise will enable seamless data integration, ensure high-performance pipelines, and contribute to the ongoing operational excellence of our data systems, all while collaborating closely with cross-functional teams to meet strategic reporting and analytics goals.

Required Skills:

• Minimum of 3+ years’ experience in data engineering, with strong skills in Azure Synapse, data lakes, SQL tools (SSIS, SSRS), and data pipeline development.
• Hands-on experience designing, implementing, and maintaining scalable, secure data architectures in hybrid cloud environments.
• Proficiency in managing data ingestion, transformation, and storage processes using tools like PySpark, PySQL, and delta formats.
• Advanced SQL development skills, including query optimization, database management, and performance tuning.
• Solid understanding of data quality management, ensuring data integrity and compliance with governance standards.
• Experience with data modeling (conceptual, logical, physical) and preparing large datasets for analytics, machine learning, and reporting.
• Familiarity with DevOps practices, including CI/CD pipelines for data solutions.

Nice to Have Skills:

• Experience with Microsoft Fabric or similar data platform tools.
• Knowledge of statistical or machine learning models for data preparation and analysis.
• Certifications such as Microsoft Azure Data Engineer Associate or relevant SQL/data engineering certifications.
• Experience supporting data transition and change management in enterprise environments.

Preferred Education and Experience:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven track record with at least 3 years dedicated to data engineering within large-scale ICT or modernisation projects.

If you’re eager to leverage your data engineering expertise to support transformative initiatives and help shape future-ready data ecosystems, we want to hear from you. Take the next step in your career and apply now to be part of a forward-thinking organisation committed to innovation and excellence.

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Anna Reyes on + 617 3709 7456 or email areyes@paxus.com.au and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.