Boring pipelines
Tested, monitored, documented. You know it’s working when nobody mentions it.
Staging, not indexed. Highlighted text is a placeholder.
Every dashboard, model and board slide sits on top of their work. We find the people who build pipelines you stop thinking about.
Usually when three dashboards give three different answers to the same question, or when your AI work stalls because the data underneath is a mess. Rush it and you get a tool enthusiast who builds a stack you pay for and nobody uses.
Tested, monitored, documented. You know it’s working when nobody mentions it.
Tables a new analyst can understand without a guided tour.
They know what a query costs, and they don’t run a warehouse like it’s free.
They ask what decision the data supports before they build anything.
A broken pipeline and a confusing schema. They diagnose it, fix it and model it properly, live, while our anti-cheat checks the interview.
In the same interview we push past the textbook query into the awkward bits: late data, duplicates, definitions that changed last quarter.
Employment history checked, and references confirmed through work email with people who relied on their data.
Checked before you meet them.
Base salary at venture-backed startups. Draft figures, pending Jono’s sign-off.
| Level | London | Rest of UK |
|---|---|---|
| Junior (0-2 yrs) | £40k-£55k | £32k-£45k |
| Mid-level (2-4 yrs) | £60k-£80k | £48k-£65k |
| Senior (5+ yrs) | £80k-£105k | £65k-£85k |
| Lead / staff | £100k-£130k | £80k-£105k |
Our fee is fee and payment terms. With Pay as they stay you can spread it across your hire’s first months, so your runway stays yours.
If your data arrives broken, a data engineer. If it arrives fine but nobody can use it, an analytics engineer. We’ll work it out with you at the Define step.
You get 3-5 vetted candidates by a date we agree upfront, usually within 10 days of signing off the brief.
Live, on a real problem, with our anti-cheat checking the interview. You get the notes in their interview pack.