Microsoft Fabric Recruitment & Talent Solutions

Build the Data & AI capability you need to turn Microsoft Fabric into business outcomes.

Building a Microsoft Fabric team?
Start with the capability.

Microsoft Fabric is changing how organisations approach data, analytics and AI.

But implementing the technology is only part of the challenge.

Organisations also need people who understand how data architecture, engineering, analytics, governance, AI and business processes come together.

At saas nine, we help organisations across Australia and New Zealand build specialist Microsoft Data & AI capability — from individual hires through to complete delivery teams.

Whether you’re implementing Microsoft Fabric, modernising an existing data platform, expanding Power BI capability or preparing for Copilot and Agentic AI, we help organisations understand the capability they need and identify the people capable of delivering it.

Microsoft Fabric talent.

Microsoft Fabric Is More Than a Technology Implementation

Microsoft Fabric brings together Data Engineering, Data Factory, Data Science, Data Warehousing, Real-Time Intelligence, Power BI and OneLake within a unified data platform.

That creates enormous opportunity.

It also changes the skills organisations need.

A successful Fabric programme may require expertise across:

Data Architecture
Data Engineering
Data Integration
Power BI & Analytics
Data Governance
Data Science

Azure
Security
AI & Copilot
Business Analysis
Programme & Project Delivery

The challenge isn’t simply:
“Where do we find somebody who knows Microsoft Fabric?”

The better question is:
“What capability do we actually need to build?”

That’s where saas nine approaches recruitment differently.

Specialist capability.

Microsoft Fabric Roles We Recruit

Specialist talent across the Microsoft Fabric, Data, Analytics and AI ecosystem.

Microsoft Fabric Architects

Designing modern enterprise data platforms across Fabric, Azure, OneLake and associated Microsoft technologies.

Fabric Data Engineers

Building data pipelines, lakehouses, warehouses and scalable data engineering solutions across Microsoft Fabric.

Power BI Developers & Consultants

Creating semantic models, reporting solutions, analytics platforms and Business Intelligence capability.

Data Architects

Defining enterprise data architecture, integration patterns, governance frameworks and future-state data platforms.

Analytics Engineers

Connecting Data Engineering and Business Intelligence to create trusted, reusable and accessible organisational data.

Data Governance Specialists

Establishing governance, data quality, security, ownership and Master Data Management frameworks.

Data & AI Consultants

Connecting modern data platforms with AI, Copilot and emerging Agentic AI capabilities.

AI & Copilot Specialists

Designing and implementing AI solutions across the Microsoft ecosystem, including Copilot and Copilot Studio.

Data Programme & Project Managers

Leading Data & AI transformation programmes and coordinating internal teams, Microsoft partners and third-party vendors.

Data Business Analysts

Connecting technology teams with Finance, Supply Chain, Operations and other business functions.

Modernising the data platform.

From Power BI to Microsoft Fabric

Many organisations aren’t starting their Fabric journey from scratch.

They already have Power BI, Azure Data Factory, Azure Synapse, SQL, data warehouses, Dynamics 365, Business Central, legacy ERP platforms and years of operational data.

The challenge is understanding how those existing investments fit into the future architecture.

The strongest candidates therefore increasingly need to understand both the new Microsoft technology landscape and the systems already running the business.

The Data & AI connection.

Fabric, Copilot & Agentic AI

The relationship between Data and AI is becoming increasingly important.

Copilot and AI Agents can make enterprise information dramatically more accessible.

But AI is only as useful as the data underneath it.

Poorly governed, fragmented or inconsistent data doesn’t suddenly become reliable because an AI Agent can access it.

Data Strategy and AI Strategy are rapidly becoming the same conversation.

Explore Data & AI Recruitment

Talent Advisory.

Don’t Recruit the Job Title. Build the Capability.

A client might initially tell us:

“We need a Fabric Developer.”

Once we understand the project, the actual requirement might be:

A senior Data Engineer
with Fabric experience.

A Data Architect
capable of defining the future-state platform.

A Power BI specialist
who understands semantic modelling.

A Data Governance Lead
or several capabilities working together.

At saas nine, we help clients unbundle the requirement before taking it to market.

We look at the business problem, existing environment, project roadmap, internal capability, skills gaps and the market.

Then we help determine what talent is actually required.

That’s the difference between filling a vacancy and providing Talent Advisory.

Our insight. Your journey.

Not sure which Fabric roles you actually need?

Let’s unbundle the requirement and understand the capability you’re trying to build.

Let's unbundle the requirement

Flexible talent solutions.

Permanent, Contract & Project Talent

Permanent Recruitment

Building internal Data & AI teams and long-term organisational capability.

Contract Recruitment

Accessing specialist Fabric, Data Engineering, Power BI, Architecture and AI capability when it’s needed.

Project & Delivery Teams

Building multiple-role teams aligned to transformations, implementations and defined business outcomes.

Talent Advisory

Helping organisations understand role design, market availability, remuneration, contracting rates and capability requirements before commencing recruitment.

Start with the outcome.

Planning a Microsoft Fabric Initiative?

You don’t necessarily need to start with a job description.

Start with the outcome.

What are you trying to build?

What technology already exists?

What capability do you already have internally?

Where are the gaps?

What will the organisation need six or twelve months from now?

Build the capability first.
Define the job title second.