Click "Apply with JobAssist" – we tailor your resume and application to this role and submit it for your approval.
Yes. This role at University of Waikato was screened before publishing – we confirmed the employer before listing it.
The employer didn't disclose a salary range for this listing. JobAssist shows pay whenever it's available.
This position can be done from anywhere, with no in-office requirement.
Yes – every application is tailored from your profile and this job's requirements, and you can review and edit before it's sent.
Building trusted data on a new Databricks platform, shaping enterprise analytics, and helping transform reporting through modern AI-enabled ways of working is the core of this role. You will play a central part in building the new enterprise data platform using Databricks, working at the intersection of data engineering, analytics, and business analysis to turn source data into trusted, well-modelled, and business-ready datasets. A significant part of the role involves migrating reporting and datasets from a legacy data warehouse to the modern platform, rebuilding existing reporting logic to current standards.
Nice to have:
The University of Waikato is a research-intensive university providing a globally connected, innovative, and inclusive student experience, with a commitment to diversity, respect for Indigenous knowledge, and high levels of community engagement. Information Technology Services (ITS) leads digital direction, manages and protects the University's digital ecosystem, supports digital initiatives, and delivers digital services that enable the University to teach, research, and operate successfully in a secure, resilient, connected, sustainable, and future-ready digital environment. ITS is part of the Corporate Services Group within the portfolio of the Chief Operating Officer.