QUT has posted an opening for a Principal Engineer, Analytics and Data Science in its Research Infrastructure team. The role sits inside the Research Portfolio at the Gardens Point campus in Brisbane and carries a salary band of $136,251 to $142,738 base plus 17 percent superannuation and leave loading, for a total package between $161,241 and $168,919. It is an ongoing full-time position with hybrid flexibility.

Role focus on pipelines and governance

The position leads analytics engineering capability across one of Australia’s fastest-growing research environments. Core duties include designing end-to-end data pipelines, building analytics infrastructure, and creating automated reporting that supports both day-to-day operations and longer-term strategic choices. The engineer will also mentor colleagues and embed stronger data governance practices.

A collaborator — call him Dr. R — once spent four weeks rebuilding a dataset that had lived only on a departing postdoc’s laptop because no one had documented the extraction steps or the transformation logic. That single episode delayed two grant reports and forced the lab to rerun expensive assays. Surveys of research groups show reusable, well-documented data sits somewhere between a quarter and half of what gets produced; the rest travels with the people who created it. The base rate is loss. The exception is groups that treat pipeline design as core infrastructure rather than an afterthought.

What the job requires

Candidates need postgraduate-level training or equivalent experience in analytics engineering or a closely related field. They must demonstrate they have delivered complex data solutions that include database architecture, analytical models, and reporting layers inside large or research-heavy IT settings. Strong written and verbal communication is essential because the role produces authoritative reports and presentations that shape decisions at multiple levels. Mentoring experience and the ability to work across organisational boundaries are also listed.

The advertisement notes the position is open to current QUT staff with ongoing full-time rights and, in line with the university’s Indigenous Australian success priority, to Aboriginal Australians and Torres Strait Islander people who are not already QUT employees.

Research infrastructure context

Research Infrastructure at QUT exists to speed high-quality fundamental and applied work, give equitable access to equipment and expertise, train the next generation of researchers, and scale outcomes that deliver economic and social returns. Placing a senior analytics engineer inside that portfolio signals that data flow itself is now treated as research infrastructure rather than an add-on service.

What this means for your lab: the fix is rarely a new policy memo. It is one shared folder structure, one README per dataset, and one enforced habit from the first day of a project. Start with the experiment you will begin next month, not the archive you have been avoiding.

Practical next step

Applications close at 11:30 pm on the date listed in the full advertisement. The reference number is 26372. Full details and the online application are available through the QUT recruitment portal.

One concrete action: open the position description today, map your own recent pipeline work against the stated requirements, and note any gaps you can address in a cover letter before the deadline.