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Open nowFirst seen 2 days ago

Data Modeller (MS Fabric)

Provoke Solutions4 open roles

Where
Wellington, New Zealand, Remote
Work mode
Remote
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Your applicationOpen nowData Modeller (MS Fabric)Provoke Solutions · Wellington, New Zealand, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Provoke Solutions's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Turn complex data into clarity. Build models that businesses can trust.

We're a global technology consultancy helping organisations solve complex challenges through modern software solutions, data platforms, AI and intelligent automation.

We're looking for an experienced Data Modeller to join our NZ team. Whether you're an established contractor or looking for your next permanent opportunity, we're open to finding the right fit.

This is an opportunity to work on meaningful client engagements, shaping how organisations structure, govern and use their data to make better decisions.

We're not just looking for someone who can write SQL or build tables. We want someone who understands how to turn complex data into reliable, well-designed models that deliver real business value.

What does the role look like?

You'll spend your time doing what great modellers do: making complex information logical, consistent and genuinely useful.

Working across Microsoft Fabric engagements, you'll turn source data and business requirements into governed, analytics-ready Gold models. One day you might be designing fact and dimension tables, the next resolving data inconsistencies, defining reconciliation rules or collaborating with analysts to ensure reporting delivers accurate, meaningful insights.

You'll work with engineers, BI teams and client stakeholders to understand how data is used, challenge existing structures and design models that are scalable, maintainable and fit for purpose.

This isn't about simply recreating legacy databases in a new platform. We want someone who can think critically about data design, make sound modelling decisions and confidently explain the reasoning behind them.

You'll have the support of experienced colleagues, but we value people who take ownership, ask the right questions and bring solutions to the table.

What we're looking for

Strong dimensional modelling experience is essential. This is a modelling-first role, not a general data engineering or Power BI development position.

Technically, you'll bring:

  • Proven experience designing dimensional and star-schema models, ideally using Kimball methodologies in production environments.
  • Strong SQL skills, including data validation, reconciliation and transformation.
  • Deep understanding of fact grain, dimensions, keys, relationships, SCD Type 1/2 and fact table patterns.
  • Experience translating source mappings and data requirements into governed, analytics-ready models.
  • Experience designing data structures for BI and reporting, ideally including Power BI Semantic Models.
  • Understanding of data quality, lineage, governance and reconciliation as part of good model design.

Hands-on experience with Microsoft Fabric, Gold Lakehouses, Delta Lake and Direct Lake is highly desirable. Familiarity with Spark SQL, PySpark and modern CI/CD practices would also be beneficial.

Beyond the technical skills...

We're a consultancy, and how you work matters just as much as what you know.

You'll be someone who:

  • Communicates confidently: Builds trust with clients and can explain complex data concepts in practical, understandable terms.
  • Takes ownership: Makes sound decisions, follows through and delivers quality outcomes without constant direction.
  • Thinks commercially: Understands the business purpose behind the data, not just the technical design.
  • Challenges constructively: Asks good questions, identifies gaps and isn't afraid to recommend a better approach.
  • Adapts and solves problems: Comfortable navigating different client environments, priorities and delivery challenges.
  • Embraces innovation: Brings an AI-first mindset and actively explores better ways of working.
  • Works well with others: Collaborates effectively with engineers, analysts and business stakeholders.

Previous consulting or professional services experience is highly valued, particularly where you've balanced technical quality, stakeholder expectations and delivery commitments.

Why Provoke?

You'll join a collaborative team working with clients across different industries and markets, helping shape modern data and AI solutions.

We value curiosity, accountability and people who get things done. You'll have the flexibility to work your way, support from experienced colleagues and opportunities to keep learning and growing.

A few important details:

  • Location: Anywhere in New Zealand. You must be NZ-based.
  • Engagement: Contract or permanent.
  • Working arrangements: Some availability required to collaborate with US-based clients (Pacific Time).

Interested?

If you're an experienced Data Modeller who enjoys solving complex problems, working with clients and taking pride in the quality of your designs, we'd love to hear from you.

Apply now and let's talk.

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