Data Platform Engineer

We're back partnering with our long-time crew at Active l Business Fitness - and this is one of the most interesting technical roles we've worked on this year.

They're hiring their first dedicated Data Platform Engineer to build the foundations that will shape how data is used across the entire business.

Not just today.

But for everything they're planning over the next few years.

So... what's the story?

Business Fitness builds Active Platform - a mature SaaS product used by accounting firms across Australia, New Zealand and the UK.

The platform is already processing millions of interactions.

Behind the scenes they're collecting data from:

• Product usage (millions of events)
• Core application databases
• Documents, PDFs and emails
• Financial information
• Customer interactions

Now they're investing in something bigger.

Not just storing that data...

But building the platform that connects it, structures it and makes it genuinely useful for reporting, customer insights and AI.

That's where this role comes in.

What you'll actually be doing

This role sits within the Platform Engineering team, working alongside DevOps, Security, Product and Data.

You'll be responsible for building the foundations that enable everything that comes next.

You'll be:

• Designing and owning cloud-based data pipelines
• Building scalable ingestion and transformation processes
• Working across Azure (AWS or GCP experience is absolutely welcome)
• Writing Python that performs real data engineering - not simply SQL orchestration
• Helping shape how data is modelled, stored and governed
• Supporting analytics, reporting and future AI initiatives
• Owning projects from design through to production

Initially, the role has a strong platform and cloud engineering focus as you help strengthen the underlying foundations.

Over time, it naturally evolves into a broader data platform position where you'll play a key role in Business Fitness's long-term data and AI strategy.

What they're looking for

Forget the unicorn checklist.

They're looking for someone who's comfortable sitting between cloud engineering and data.

You'll probably be a great fit if you have:

• Strong Python and SQL skills
• Commercial Azure experience (AWS or GCP transfers well)
• Experience building production-grade cloud data platforms or pipelines
• Exposure to CI/CD, Infrastructure as Code and cloud infrastructure
• Experience in SaaS, product companies or scale-ups
• The ability to work autonomously and own technical outcomes

You might currently be:

• A Data Platform Engineer
• A Cloud Engineer who's moved into data
• A Data Engineer with genuine platform ownership
• A Backend Engineer who's built cloud-based data platforms

If you've spent your career working in highly segmented enterprise environments where every problem belongs to another team...

This probably isn't the role for you.

Why it's interesting

Most data roles sit at one end of the spectrum.

They're either:

• Pure analytics
• Traditional ETL
• Highly specialised enterprise engineering

This isn't.

You'll work across cloud, platform and data while helping build something that simply doesn't exist yet.

You'll have the backing of experienced DevOps engineers, Product teams and AI specialists - but you'll genuinely own your work.

It's the kind of role where you'll be able to look back in two years' time and point to a platform you helped build.

The environment

• 100% remote across Australia
• Mature SaaS business with thousands of customers
• High ownership, low bureaucracy
• Real investment into data and AI
• Collaborative engineering culture
• Long-term opportunity to shape the organisation's data platform

The bottom line

If you enjoy solving difficult technical problems...

If you like building things properly rather than patching them...

If you want to work across cloud, platform and data while helping lay the foundations for AI...

This is a genuinely exciting opportunity.

📩 [email protected]