_{17th April, 2026}

We're back partnering with our long-time crew at Business Fitness - and this one sits right at the intersection of cloud, data, and what's next.
 
They're hiring a Cloud Data Engineer to help shape how data is actually used across their platform - not just stored.
 
So... what's the story?
 
Business Fitness builds Active Platform - a SaaS product used by accounting firms across Australia and the UK.
 
It's a seriously robust platform already.
But under the hood? There's a huge opportunity.
 
Data is flowing in from everywhere:

• Product usage (millions of events)
• Core application databases
• Documents, PDFs, emails (and growing fast)

Now the focus shifts to:

• Structuring it
• Connecting it
• Making it usable (internally + externally)
• And setting the foundation for AI

That's where you come in.
 
The role (what you'll actually be doing)
 
This sits in the Platform team (DevOps + Security) - not a siloed data function.
 
You'll be:

• Building and owning cloud-based data pipelines
• Working across Azure (or AWS/GCP equivalent) environments
• Using Python for real data work (not just SQL wrappers)
• Helping shape how data is modelled, stored, and accessed
• Pulling together data from multiple sources into something usable
• Supporting analytics, reporting, and AI initiatives

It's roughly:

• 50% data pipelines & infrastructure
• 30% cloud / DevOps-adjacent work
• 20% analytics + collaboration

And importantly - you'll own projects end-to-end, not just a slice of them
 
What they're looking for
 
This isn't a "perfect checklist" hire. It's about the right mix.
 
Core things that matter:

• Strong cloud experience (Azure ideal, AWS/GCP absolutely fine)
• Solid Python skills (actual usage - scripting, data processing, notebooks, etc.)
• Experience in SaaS / startup / smaller environments
• Comfortable sitting between DevOps and data
• Someone who can figure things out without a playbook

You might be:

• A data engineer who's worked close to platform teams
• A cloud / DevOps engineer who's leaned into data
• Or someone who's done a bit of both in a smaller team

If you've only ever worked in highly segmented enterprise teams... this probably won't hit the same.
 
Why this role is interesting
 
Most "data roles" are:

• Either pure analytics
• Or super siloed engineering

This isn't that.
 
You'll be:

• Working across the full data lifecycle
• Building things from the ground up
• Close to product, AI, and real business decisions
• In a team where you can actually see the impact of your work

And you'll have the support of:

• DevOps engineers
• Product teams
• AI / Data specialists

...but still own your lane.
 
The environment

• SaaS product company (not consulting)
• Smaller, tight-knit team
• High ownership, low bureaucracy
• Real investment into data + AI
• Strong collaboration across teams

The bottom line
 
If you like:

• Being close to the problem
• Owning outcomes end-to-end
• Working across cloud + data (not just one)
• And helping build something properly

This is a very, very good role.
 
Keen? Apply now or reach out for a chat.
 
adam@fyndco.com.au
dan@fyndco.com.au

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