Principal Data Engineer

Be challenged | Be rewarded | Belong

Are you an experienced data engineering professional ready to lead impactful work that benefits Queensland workers?

QLeave is seeking a Principal Data Engineer to join our high-performing Data and Analytics team in Brisbane’s North. This is a unique opportunity to shape enterprise data capability and lead modern data engineering practices.

About The Role

As a senior member of the Data and Analytics team, you will lead the design, delivery, and governance of QLeave's data platforms.

Working closely with the Manager, you will help drive data engineering capability and governance, while leading and mentoring a small team of Data Engineers.

Your Responsibilities

In this role, you will:

• Provide expert technical leadership in the design, development, optimisation and governance of complex data engineering solutions that enable reliable, scalable and secure data access across the organisation.
• Lead the architecture and engineering of enterprise level data pipelines, data Lakehouse components and data integration frameworks, ensuring they reflect best practice, modern engineering patterns and organisational strategy.
• Analyse and solve complex data engineering challenges, providing innovative, fit for purpose solutions that improve data reliability, performance, efficiency and quality.
• Oversee and assure engineering quality, including code reviews, architectural alignment, testing strategies, operational readiness assessments and continuous improvement of engineering standards.
• Provide technical mentoring, coaching and guidance to Data Engineers and related roles, building capability, uplifting engineering maturity and supporting consistent adoption of best practice.

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

• Demonstrate advanced technical expertise in modern data engineering.
• Provide authoritative guidance in data engineering activities.
• Exhibit leadership capability.
• Demonstrate high level analytical and problem-solving skills.
• Show strong proficiency in core technologies, including Microsoft Fabric and Azure.
• Build and maintain effective relationships with internal and external stakeholders.
• Demonstrate experience delivering engineering work in complex environments.

While there are no mandatory qualifications for this role, practical experience in a cloud-based data engineering or qualifications in Information Technology or Mathematics will be favourably regarded.

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 page) highlighting your motivation for the role and evidence which demonstrates your ability to meet its specific requirements.

For more information or to discuss the role confidentially, please contact Sarah Gilbert at [email protected].

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.

Occupational group IT & Telecommunications