Analytics Engineer

Plenty of good analysts hit the same wall: you query the data but never build the pipelines, you’re boxed into one lane, and more scope means waiting your turn. Here, it’s the opposite.

Taptap Send moves billions of dollars a month across 6 of 7 continents . We’re probably the largest, fastest-growing money movement business you’ve never heard of. Cards, wallets, business-to-business payments, institutional payments, and new markets are all launching now, and each needs its data, reconciliations and reporting built from scratch.

That’s your work.

• The job
• You’ll own the external reports the business can’t operate without, then automate them into reliable, reusable dbt models. From day one you’ll work with Finance, Compliance, Treasury, Product and Data Engineering to make sure every number is modelled correctly.
• Own external reporting: deliver the datasets behind month-end close and regulatory reporting, on time, every cycle.

Automate: turn multi-day manual work into scheduled pipelines, runbooks and dbt models, so it only gets done once.

Get ahead of launches: build reports and reconciliations as each product and market goes live, before anyone asks.

Be first line for data requests: build models so people and AI agents can answer repeat questions themselves.

Keep data trustworthy: build tests, checks and alerts that catch reconciliation breaks and stale data before they become incidents.

Share what you know: peer-review code