Databricks · New Zealand

Custom Databricks Training in New Zealand

Better People is a custom Databricks training provider for teams in New Zealand whose training has to run on their own data, follow their own workflows, or meet requirements standard courses were not written for. Sessions run onsite in Auckland, Wellington and elsewhere in New Zealand, or live online, priced per cohort from USD $5,000.

New Zealand data teams work under the Privacy Act 2020, and many also have commitments that are particular to Aotearoa, from the public sector Algorithm Charter to Māori data sovereignty. Standard Databricks courses teach the platform in general. We build training around the platform your team runs and the commitments it runs under.

From USD $5,000 per cohort · Onsite in New Zealand or live online

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Our team has trained:

WestpacCommBankTelstraDisneySportsbet
NSW HealthSafetyCultureSpark NZSony

When standard Databricks training doesn't fit

Databricks Academy's standard curriculum is the right starting point for many teams. We're for the teams it doesn't fit.

That usually means one of three things: the training has to run on your own data rather than sample datasets, it has to follow the workflows and platform decisions your team has already made, or your requirements are specific enough that no standard course was written for them. In each case we design the curriculum around your environment and deliver it.

If a standard, non-custom Databricks course is what your team needs, we can deliver that on request too.

How does the Privacy Act 2020 shape Databricks training in New Zealand?

New Zealand's Privacy Act 2020, overseen by the Office of the Privacy Commissioner, sets out thirteen information privacy principles. Two land directly on a data team: organisations must notify the Commissioner and affected people of a privacy breach that has caused, or is likely to cause, serious harm, and personal information can only be disclosed overseas where it will be protected comparably.

In practice, that means a training environment built on masked or synthetic data inside your own workspace, and governance taught as the working skill it is. A team that can see at a glance who can reach which table, and what a leaked extract actually contained, can apply the serious-harm test quickly rather than guess at it.

  • Unity Catalog permissions, row filters and column masks, set up on your own catalog structure
  • Lineage and audit logs, so a team can assess quickly what a breach actually exposed
  • Workspace and storage decisions that keep personal information where it is meant to stay

What about the Algorithm Charter and Māori data sovereignty?

Government agencies that have signed the Algorithm Charter for Aotearoa New Zealand have committed to transparency, human oversight and considering the people affected when algorithms inform decisions. Many organisations, public and private, also work with the principles of Māori data sovereignty published by Te Mana Raraunga, the Māori Data Sovereignty Network.

Neither is a Databricks feature, and how your organisation honours them is its own decision. What training can do is make sure the platform supports it: data classified and tagged so it can be governed differently, access that reflects who should see what, and a documented record of which models use which data.

What changes for financial services teams in New Zealand?

Banks, insurers and other institutions regulated by the Reserve Bank of New Zealand work to its guidance on cyber resilience, which sets expectations for governance, access control, third-party and cloud risk, and incident response.

The guidance is principles-based, which leaves a good deal to each institution's judgement. Custom training covers the Databricks practices that make its expectations easier to evidence: least-privilege access, audit logs, lineage and controlled promotion into production. Your risk team decides how that maps onto the guidance.

Where does your Databricks workspace sit?

At the time of writing, Microsoft Azure and AWS both operate cloud regions in New Zealand and Google Cloud has announced one. Databricks does not run in every cloud region, though, so many New Zealand teams run their workspace in Australia. Training is built on the cloud and region you actually use, because networking, storage, identity and data residency all differ between them.

How does delivery work in New Zealand?

  • Onsite at your offices in Auckland, Wellington, Christchurch or elsewhere in New Zealand, with travel quoted at cost on top of the session fee
  • Live online in New Zealand business hours (NZST, UTC+12, or NZDT, UTC+13, in summer), which overlap closely with our Australian working day
  • Priced per cohort from USD $5,000, not per seat, so the fee covers the room
  • Every curriculum, material and recording we create for you is yours to keep

Databricks certification for New Zealand teams

Our lead trainer holds all four Databricks certifications: Generative AI Engineer Associate, Machine Learning Engineer Associate, Data Engineer Associate and Data Engineer Professional. Custom programs can be structured to build towards a certification on your own data, which tends to stick better than preparing on sample datasets alone.

Certification exams are booked and sat directly with Databricks. We prepare the team; we do not administer the exam.

What we train New Zealand teams on

Data Engineering

Pipelines, Delta Lake, and Unity Catalog

Machine Learning Engineering

Model training, MLflow, and Feature Store

Generative AI Engineering

LLMs, RAG, and prompt engineering on Databricks

AI/BI and Dashboards

Databricks SQL, Genie, and AI/BI dashboards

Multi-Agent Systems

Building and orchestrating AI agents on Databricks

Unity Catalog and Governance

Data governance, lineage, and access control

Custom Databricks training provider

We're a custom Databricks training provider. When standard courses don't fit your data, your workflows or your requirements, we design and deliver training that does, and we can run standard Databricks training on request.

Certified and enterprise-tested

Our lead trainer holds all four Databricks certifications, and our team has trained teams at Westpac, CommBank and Telstra.

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Call us directly

Mon to Fri, 9am to 5pm AEDT.

+61 420 977 751

Common questions

Can the training run on our own Databricks workspace and data?

Yes, and that is the point of it. Sessions run on your own workspace and catalog structure, using masked, synthetic or appropriately governed data wherever the Privacy Act 2020 or your internal policy means real personal data should not be used for practice.

How is this different from Databricks Academy?

They serve different needs. Databricks Academy's standard curriculum is the right starting point for many teams. We are for the teams it does not fit: training that has to run on your own data, follow your workflows or meet specific requirements. If a standard course is what you need, we can deliver that on request too.

Do you deliver Databricks training onsite in New Zealand?

Yes. We deliver onsite in Auckland, Wellington and elsewhere in New Zealand, with travel quoted at cost on top of the session fee. Live online delivery is also available, and New Zealand hours sit close to ours, so scheduling is straightforward.

Why is Databricks training priced in US dollars in New Zealand?

All our Databricks training is priced in US dollars, in every country, Australia included. It keeps one price for the same work wherever it is delivered. Training starts from USD $5,000 per cohort, not per seat, with travel at cost for onsite delivery.

Have you delivered Databricks training in New Zealand before?

Not yet in New Zealand, and we will say so plainly. Our custom Databricks work to date has been in Australia. We have worked with New Zealand organisations on AI training, including the New Zealand Veterinary Association. The people delivering your sessions hold all four Databricks certifications and have trained teams at Westpac, CommBank and Telstra.

Last updated: September 2026

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