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(Databricks, Kafka) and building scalable, robust pipelines. • Strong data modelling skills across relational, dimensional, and analytical structures. • Proficiency in key data engineering languages (SQL
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the scenes at the University, working across projects such as large-scale construction, space reutilisation, innovative digital and technology initiatives and other organisation change activities. No day is
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readiness support staff to successfully adapt to change, and ensure that changes are effectively communicated, adopted and sustained. What you’ll do: • Apply structured methodologies to develop, deliver
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me kā wheako We are seeking an experienced health and safety professional with a strong background in construction and asbestos compliance to join our team. You will bring sound knowledge of the Health
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. • Strong data modelling skills across relational, dimensional, and analytical structures. • Proficiency in key data engineering languages (Python, SQL, Scala). • Experience with source control, CI/CD
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stakeholder engagement skills. • Experience using structured business analysis techniques, tools, and methodologies. • Knowledge of improvement methodologies such as Lean, Lean Six Sigma, or similar
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students as they engage with patients and health professionals across real-world settings. Facilitate structured discussions to help students understand social, clinical, and professional issues that bridge
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skills and experience | Kā pūkeka me kā wheako Trade experience is preferred. Ideally you will have previous experience in a trade related activity, such as construction, mechanical, plumbing, painting
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the long‑term stewardship of the University’s complex portfolio. As the largest owner of historic buildings across New Zealand’s universities and home to the 2025 Construction Project of the Year, Te
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– chromatography, electrophoresis, activity assays, binding assays etc. • Experience in structural enzyme characterisations, in particular X-ray protein crystallography (Macromolecular X-ray crystallography, MX