Description:
Be challenged | Be rewarded | Belong
Are you a strategic and innovative Data Engineer ready to shape data infrastructure and drive informed decision-making?
Join QLeave’s high-performing Information Technology & Innovation team and play a key role in managing, optimising, and securing data that supports Queensland’s workers.
QLeave is seeking a Data Engineer to join our high-performing Information Technology & Innovation team in Brisbane’s North.
About the Role
As a Data Engineer, you will lead and manage data architecture solutions, data pipelines, and data governance, ensuring QLeave's data is accurate, secure, and accessible.
Reporting to the Team Leader, Data & Analytics, your role will involve:
- Designing, implementing, and maintaining a Data Lakehouse aligned with data management best practices, governance protocols, and security controls.
- Designing and managing data architecture to ensure scalability, efficiency, and alignment with business needs.
- Developing and optimising data pipelines to efficiently move and transform data from multiple sources into QLeave's data Lakehouse.
- Ensuring data quality, governance, and security by implementing best practices and security controls.
- Supporting analytics and reporting by creating and maintaining data models for Power BI, Azure SQL, On-Premises SQL, and Microsoft Fabric.
- Monitoring and troubleshooting data issues using diagnostic tools, working collaboratively to resolve performance and quality concerns.
- Documenting data processes and architecture to ensure clarity, consistency, and adherence to governance standards.
- Engaging with stakeholders across the organisation to understand data needs and provide insights that support informed decision-making.
For a complete overview of the responsibilities of this role, 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.
We are looking for a highly skilled and analytical Data Engineer with:
- Proven experience in designing, implementing, and managing a Data Lakehouse
- Experience in data engineering, including Azure Data Factory, T-SQL, Python, and data modelling.
- Strong technical expertise in data governance, security controls, and performance optimisation.
- A structured and methodical approach to engineering data from diverse datasets.
- The ability to develop and maintain scalable, automated data pipelines.
- Experience with data accuracy, consistency, and security within complex environments.
- Excellent communication and stakeholder engagement skills, with the ability to work collaboratively in a team environment.
While there are no mandatory qualifications for this role, experience in data engineering and relevant analytics tools will be highly regarded.
How to Apply
If you're passionate about making a difference, we'd love to hear from you.
Your application must include:
- A detailed resume outlining your qualifications, experience, and achievements.
- A brief letter (1-2 pages) explaining your motivation for the role and how your skills align with the requirements.
For further information or a confidential discussion, please contact Nicole Gardner at nicole.gardner@qleave.qld.gov.au ( mailto:nicole.gardner@qleave.qld.gov.au ).
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.