Title: Lead Data Engineer Location: Saint Lucia, QLD, Australia Job Description: - Information Technology Services (ITS) - Full-time, permanent position - Base salary will be in line with HEW Level 8. An additional market loading may be available for exceptional candidates to increase your total salary package. - Based at our St Lucia location About This Opportunity The Lead Data Engineer plays a pivotal role in delivering UQ's advanced analytics and data platform capabilities. This role provides technical leadership across solution architecture, design, development and operation of enterprise big data and analytics platforms, while leading teams to deliver high-quality curated data products that underpin complex analytics initiatives. Reporting to the Manager, Analytics Data Services, the position operates across both transformational projects and core operational services, balancing hands-on technical expertise with people leadership and strategic contribution. Key responsibilities will include: - Lead the architecture, design, development and operation of scalable big data and analytics platforms, ensuring solutions are secure, robust and aligned with best practice - Provide technical leadership across major data and analytics initiatives, including solution design, development oversight, testing and delivery within agreed timelines and budgets - Lead and manage technical teams, providing clear direction, mentoring, performance management and fostering a collaborative, high-performing culture - Partner with stakeholders across the University to provide trusted advice on data platforms, emerging technologies and reusable curated data solutions About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world. Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community. Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as: - Up to 26 weeks paid parental leave/paid primary care leave - 17% superannuation contributions + 17.5% annual leave loading - Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight - Health and wellness discounts - fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family - Career development opportunities -access to exclusive internal-only vacancies and our Study for Staff program - On campus childcare options - Affordable parking (from just $6.40 a day) - Salary packaging options About You You are a senior data engineering professional with strong technical depth, a collaborative mindset and a proven ability to lead teams delivering complex data solutions in large, cloud-based environments. You will bring: - A degree in IT or a related field with postgraduate qualifications (or progress towards), or an equivalent combination of experience and education - Extensive experience designing, building and operating modern, cloud-based data and analytics platforms - Proven capability leading people, projects and budgets while providing technical leadership and mentoring to engineers and analysts - Strong experience working within agile delivery environments and managing multiple concurrent initiatives - Well-developed analytical and problem-solving skills, with the ability to design solutions that integrate systems, data and processes - Excellent communication and stakeholder engagement skills, with the ability to influence and collaborate at all levels - A commitment to developing high-quality, reusable curated data assets that enable enterprise-wide analytics - A strong track record of staying current with emerging data technologies, methodologies and industry best practices Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may include verification of the right to work in Australia, qualifications, and criminal history checks. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements. You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Shirley Wood Mcleod, Associate Director, Data Services at s.woodmcleod@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line. Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload: - Resume - A cover letter summarising how your background aligns with the 'About You' section Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent, particularly from Australia's First Nations Peoples. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au. Other Information UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don't meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

• Define and evolve data architectures, ensuring scalability, governance and efficiency of solutions; • Establish standards, best practices and technical guidelines for the data ecosystem; • Provide technical support to engineering teams during implementation of proposed solutions; • Translate business needs into structured, sustainable data solutions; • Participate in technical discussions with clients and stakeholders with clarity and depth; • Evaluate and propose solutions in cloud environments, considering performance, cost and security; • Work on integrating data from different systems, including SAP and operational systems.

Data Integrity Officer Branch: Payroll Services Division: Business and Customer Services Salary: Level 4, $95,782 - $100,526 per annum (pro-rata) (PSCA 2024) Work Type: Permanent - Full Time FTE: 1.0 Location: East Perth Closing Date: 2026-06-23 4:30 PM Attachments: - published jdf - 00047645 - data integrity officer - payroll services - ps l4 - nov 2025.pdf There are four (4) permanent full-time positions commencing ASAP The Business and Customer Services (BCS) Directorate supports the objectives and outcomes of its customers by providing value for money corporate services through skilled and motivated people. The BCS aims to deliver services within an environment of standardised systems and processes. The Payroll Services Branch process employee salary, leave, superannuation and salary packaging records to maintain accurate and timely payments to Department of Education staff. The Branch services 75,000 plus employees in WA public schools, central office, and regional education offices. The Role The Data Integrity Officer ensures the integrity, accuracy and compliance of payroll data on the Department's Human Resource Management Information System (HRMIS). The Data Integrity Officer conducts quality assurance, reporting, and reconciliation activities to identify discrepancies, address compliance issues and support process improvements. The position collaborates with internal stakeholders to enhance payroll operations, streamline reporting mechanisms, and maintain adherence to industrial instruments and taxation legislation. If successful, you will provide expert advice on compliance with industrial instruments, taxation legislation and Departmental policies ensuring best practices are upheld and contributing to informed decision-making across payroll processes. You will address exceptions and manual processing and reconcile the Department's fortnightly pay data before uploading through Single Touch Payroll to the Australian Taxation Office (ATO). Professional Benefits We are conveniently located in East Perth and our employees enjoy a range of benefits which include: - 12% employer contributed superannuation. - Flexible working arrangements are genuinely considered to create healthy work life balance including; working from home or remote, flexible working hours and part-time arrangements - Generous leave entitlements including annual, personal, long service and parental leave. - Professional development opportunities and study leave/assistance. - Access to salary packaging (in accordance with relevant industrial instruments). - Enjoy easy access to public transport with the Claisebrook train station just a 5-minute walk away or, take advantage of the free Yellow Cat bus service that stops outside our building entrance. Additionally, various CPP parking locations are within walking distance. Want to know more? Full details of the role, selection criteria and training requirements are listed in the attached Job Description Form (JDF). For more information about this opportunity, please contact Michelle James, Manager on (08) 9264 5485 or emailing Michelle.James@education.wa.edu.au We are committed to building the leadership capability of our people (Building Leadership Impact). Equity and Diversity We are committed to an inclusive and culturally responsive workforce reflecting the diversity in our workplaces and the Western Australian community. We welcome and encourage applications from Aboriginal and Torres Strait Islanders, young people, people of diverse sexualities and genders, people with disability, and people from culturally and linguistically diverse backgrounds. Explore our Equity, Diversity and Inclusion Plan 2021-2025 for more details. Eligibility To work with us, you must: - be an Australian or New Zealand citizen, permanent resident or have a valid visa with relevant work rights for the term of the appointment. - consent to a Nationally Coordinated Criminal History Check and obtain a current Screening Clearance Number issued by the Department of Education's Screening Unit before you start. More information about employment eligibility can be found on our website and in the attached Job Description Form (JDF). Application Instructions Apply online in two easy steps: Step 1: Select

• Atuar no desenvolvimento de pipelines de ingestão, transformação e enriquecimento de dados para uso em IA • Trabalhar com dados estruturados e não estruturados (textos, PDFs, HTML, áudios, entre outros) • Implementar processos de chunking, embeddings e indexação vetorial • Construir e manter datasets voltados à matriz de conhecimento corporativa • Desenvolver pipelines utilizando Databricks (Spark / PySpark) • Atuar com arquitetura medalhão (bronze, prata e ouro) • Integrar dados com bancos vetoriais (Azure AI Search, pgvector, entre outros) • Garantir performance, escalabilidade e confiabilidade dos pipelines • Aplicar boas práticas de qualidade de dados (completude, consistência e versionamento) • Implementar políticas de atualização, retenção e expurgo de dados • Garantir rastreabilidade e auditabilidade dos dados utilizados pelos modelos • Atuar em conjunto com times de AI/ML na preparação e otimização de dados • Apoiar estratégias de recuperação de informação (RAG) • Otimizar dados para melhorar a relevância e precisão das respostas dos modelos