• Based at either our Melbourne Burwood or Geelong Waterfront Campus, hybrid work available 
• Fulltime and continuing
• HEW 9 $138,102 - $146,374 + 17% Superannuation

Do you want to lead the engineering of data and insights that shape strategic decision-making?

Deakin is seeking a Lead, Business Intelligence Data Engineering to oversee the design, development and operation of enterprise data engineering platforms that power high-quality analytics, reporting and insight-driven decision-making across the University.

This is a leadership role where technology, strategy and customer experience come together — enabling data to be trusted, accessible and meaningful for students, staff and researchers.

Why work with us?

At Deakin University, you’ll find more than a job - you’ll find a community and a way of working that supports you to do your best work. Across our campuses in Geelong, Melbourne and regional Victoria, we offer an environment designed to help you thrive, with on-site childcare, gyms, medical centres, cafés, accessible public transport and convenient parking.

We support flexible and hybrid working, generous leave provisions - including extended parental leave and the option to purchase additional leave - and a wide range of staff benefits and discounts. Combined with our strong focus on health, wellbeing and professional development, Deakin offers a supportive, inclusive culture where leaders are trusted, people are valued and careers can grow.

About the role

Deakin isn't just adopting AI – we're building it. With Deakin GEM now live and our AI Factory, a multi disciplinary AI squad, accelerating capability across the institution, ambitious work is underway across multiple streams.

As Lead, Business Intelligence Data Engineering you will lead the evolution of Deakin’s data engineering environment, ensuring robust, secure and scalable data platforms support organisational priorities. You will play a key role in delivering automated, high-quality data pipelines, improving data processing efficiency and strengthening enterprise business intelligence capability.

This role blends technical leadership with people leadership — fostering innovation, operational excellence and continuous improvement across data engineering practices.

Come and join us to transform data into intelligent insights that drive decisions. We need a Data Engineer who can build robust BI pipelines and infuse them with AI, from predictive analytics to LLM-powered exploration and creating data products that empower business users to ask smarter questions and get better answers.

You will:

• Lead the design, development and maintenance of enterprise data engineering platforms and tools
• Ensure data quality, security and governance standards are embedded across the enterprise data warehouse environment
• Drive automation of data workflows to support scalable, efficient data processing
• Oversee end-to-end data pipeline delivery across ingestion, transformation and serving layers
• Lead capability improvement initiatives and evaluate emerging data technologies
• Coach and inspire team members to deliver high-quality data engineering outcomes
• Translate business requirements into effective, practical data solutions
• Engage stakeholders to communicate the value of insights and support evidence-based decision-making

About you

You are an experienced data engineering or business intelligence leader who thrives in complex, enterprise environments. Most importantly, you are passionate about using data to create meaningful outcomes and empowering others to succeed.

You’ll bring:

• Postgraduate qualifications or extensive relevant experience
• Proven experience managing data engineering, warehousing and ETL/ELT platforms
• Knowledge of feature engineering and ML data pipelines
• Experience integrating AI/ML models into BI workflows
• Understanding of predictive analytics and anomaly detection
• Familiarity with embedding models, LLMs for data exploration
• Demonstrated ability to improve customer experience through data and insights
• Strong understanding of data governance, quality and security practices
• Experience leading technical teams and driving continuous improvement
• Excellent stakeholder engagement and communication skills

For a copy of the position description, please see below:

PD - Lead, Business Intelligence Data Engineering.pdf

To apply

Please submit your updated resume and a short cover letter outlining your skills and experience.

For a confidential discussion regarding this role, please contact Abhishek Joshi – Senior Manager, Business Intelligence Data Engineering via abhishek.joshi@deakin.edu.au

Applications close 11.55pm on Sunday, 15 March 2026

Are You Ready?

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.

Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks, including Working With Children Checks and candidate gender-based violence declarations. 

Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process.  A declaration is not required from individuals who have experienced gender‑based violence.  A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.