Overview
This is what happens when data becomes the product.
Not just something that sits behind it.
I'm working with a company building the data layer behind how modern software is stored, secured, and delivered at serious scale (tens of millions of requests daily, petabytes of data monthly)
They’re hiring a Staff Data Engineer to help shape that platform.
What’s actually going on
Every action in their system is tracked:
Packages moving through the platform
User activity
Security decisions
That data feeds directly into the product.
Right now, the focus is:
Building CDC pipelines (track every change, nothing lost)
Handling billions of events in near real-time
Redesigning log/export systems at scale
Laying foundations for AI-driven insights
It’s part greenfield, part scaling what’s already there.
The reality of the role
This isn’t a clean, well-defined data problem.
If you need perfect specs before starting, this won’t suit you.
What they’re looking for
Strong data engineering experience at scale
Experience with distributed / event-driven systems
More importantly:
You care how the data is actually used
You think in systems, not pipelines
You’re comfortable working without a playbook
Why it’s worth a look
Core product infrastructure, not reporting
Real scale, real complexity
Still plenty of greenfield work
Data platform is central to what they build next
Small team, high ownership, engineering-led environment.
Competitive salary + stock (recently funded, high-growth environment).
Candidates must be based in Ireland or the UK, with the right to work (no sponsorship).
If you’ve worked on real data systems and want something with more depth, this is worth a chat.
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