We're on the hunt for a curious, capable, DevOps-flavoured Data Engineer to join the Business Fitness crew - and this one's got 'impact' written all over it.
If you've been craving a greenfield data gig where your fingerprints are on everything - systems, pipelines, storage, strategy - this might just be your dream role in disguise.
Before we dive in, a quick word about the business...
About Active l Business Fitness
These guys are the brains behind Active Platform - a modern, cloud-based practice management suite used by thousands of accounting and advisory firms across Australia and the UK.
They're not your average accounting tech company (we promise). Yes, their products help firms run smoother, faster, better - but their real superpower? Constant reinvention. From AI research partnerships to intuitive UX to powerful workflow automation, the team is building tools that unlock what's next for professional services.
They're also growing steadily - expanding their presence in the UK, building out new functions (like this one), and investing in the kind of capability that levels up the whole ecosystem.
The Role: Data Engineer
This is a brand new position sitting inside the Platform / DevOps team, and it's all about building the foundations of a scalable, secure, and seriously clever data capability.
You'll be the go-to person for shaping the future of data engineering at Active \| Business Fitness - reviewing current storage setups (hello, SQL), designing new solutions (think: Microsoft Fabric and Lakehouses), and owning the pipelines that feed insights across the business and into the hands of AI researchers, product teams, and clients.
Right now, most usage data comes from Gainsight - a user interaction tracking tool - and lands in an AWS S3 bucket. The plan? Migrate this into Fabric, define best practice around storage, security, access, and transformation, and set up scalable pipelines that empower smart decisions across the company.
You'll collaborate closely with DevOps, Security, Product, and a growing internal AI team (plus an external research partnership with the University of Essex), and play a key role in shaping how data is handled, shared, and leveraged across the org.
This is one of those rare roles that blends technical autonomy, team support, and real future growth - a chance to get in early and define what good looks like.
Here's what you'll be doing:
Reviewing, improving, and modernising how user interaction data is stored and structured - starting with SQL and moving into Microsoft Fabric.
Designing and building secure, scalable data pipelines (Python, Fabric Notebooks, etc.) to move and transform large volumes of product usage data.
Supporting internal research, analytics, and product teams with data access and clean inputs - both human (internal) and AI-powered (external researchers).
Collaborating with the DevOps team and architects to build on existing Azure + Kubernetes infrastructure foundations.
Interfacing with security and ops to ensure sensible access controls and data governance.
Bringing a data lens to the wider platform roadmap - spotting opportunities, surfacing insights, and helping the business scale smarter.
What they're looking for:
There's some flexibility here - but ideally, you're:
A mid-to-senior Data Engineer, DevOps Engineer, or Platform Engineer with strong cloud data experience (Azure preferred, AWS very welcome).
Confident working with Python, SQL, and cloud-native storage and transformation tools (bonus points for experience with Microsoft Fabric, Synapse, or Data Factory).
Comfortable owning technical delivery across the lifecycle - from discovery to architecture to implementation and iteration.
Familiar with data security, access management, and working in a high-trust, remote-first team.
Curious about where data meets AI, and excited by the idea of building a foundation that enables future product innovation.
Pragmatic, proactive, and great at navigating a scale-up environment where not everything is perfectly defined (yet).
This is a role with plenty of headroom - a chance to shape something from the ground up, then grow into future leadership as the function expands.
Location + Flexibility
Remote-friendly, Perth or Brisbane is preferred, but Melbourne also works for timezone and team overlap. Flexible hours, WFH culture, and full trust from day one.
Sound like your kinda gig? Hit APPLY or drop us a line if you'd like to chat first.
You'll fynd us here:
adam@fyndco.com.au
dan@fyndco.com.au