Build greenfield data pipelines in Azure/Fabric for a fast-growing SaaS - own architecture, enable AI, and shape the future of data.
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: