About QLeave
QLeave is a statutory authority administering portable long service leave schemes for workers in the building and construction, contract cleaning, and community services industries. With over $2 billion in funds under management, we ensure that Queensland's workers receive the benefits they've earned. Our commitment to strong governance, accountability, and service excellence underpins everything we do.
About the Role
As a Data Engineer, you'll play a pivotal role in building and managing QLeave's enterprise data platform. You'll be a technical expert with a passion for transforming complex data from multiple sources into reliable, accessible insights. This is your chance to work on critical data infrastructure while collaborating with a team dedicated to innovation and service excellence. You will be at the forefront of QLeave's data-driven transformation. Designing, implementing, and optimising secure, scalable pipelines and models that support better decision-making across our business.
Key Responsibilities
Lead and manage the design, development, transformation, presentation and maintenance of data assets and data architecture solutions.
Ensure architecture and infrastructure for data is fit for purpose, adopts best practice principles and is designed for efficiency, including data collection, ingestion, transformation, storage and access.
Design, implement and deploy data collection and migration tools to combine data extracted from multiple data sources into a consistent structure in databases and data lake.
Ensure data management best practices across all stages of data lifecycle, ensuring activities are performed in accordance with data governance protocols.
Apply appropriate security controls to data to ensure the right people get the right access to the right data.
For a complete list of the role responsibilities, please refer to the role description.
What We're Looking For
QLeave appointments are based on selecting the eligible applicant best suited to the position. We will assess your application based on your experience, potential for development, and your personal qualities. For this role, we will consider how well you:
Apply technical data engineering skills to process diverse datasets methodically
Design and manage data Lakehouse architecture aligned with best practices, governance, and security
Build and maintain scalable automated pipelines for data collection, transformation, and loading
Analyse and resolve issues related to performance, data quality, constraints, and unstructured data
Demonstrate expertise in PowerBI, Azure SQL Databases, On-Premises SQL Databases, Microsoft Fabric, Azure Data Factory, T-SQL, and Python
There are no mandatory qualifications for this role.
How to Apply
If you're ready to make an impact and contribute to QLeave's success, we'd love to hear from you. Your application must include:
A detailed resume outlining your qualifications relevant experience and achievements.
A brief letter (1-2 pages) highlighting your motivation for the role and evidence which demonstrates your ability to meet its specific requirements. This should not be a restatement of your resume and does not require you to respond to each attribute areas; it is your opportunity to tell us about yourself, what you'll bring to the role and what you'll get out of it.
For further information or a confidential discussion, please contact Sarah Gilbert.
QLeave values diversity and is committed to being an equal opportunity employer. Adjustments to the recruitment process are available upon request to ensure all candidates can showcase their abilities.This work is licensed under a Creative Commons Attribution 3.0 Australia License.
