Analytics Engineer
You will own and automate critical external financial and compliance reports by building reusable dbt models and robust data pipelines. Collaboration with Finance, Treasury, Product, and Data Engineering teams ensures accurate data modeling across the company's global payment operations.
Skills required
About this role
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 and join our weekly meetups.
Why you’ll want it
Grow as fast as you’re able. We hire for potential, not years of experience. On a lean, talent-dense team, you’ll own real work early and take on more the moment you’re ready.
Go from querying data to designing systems. Data, product or business analyst? You don’t need to be an analytics engineer yet. Build the pipelines behind the numbers, and learn dbt, testing, automation and AI tooling from senior analytics engineers.
Don't get boxed in. Own the reporting, automate it, then take on our biggest problems wherever they sit. Your hiring manager started in Finance and has since worked across Partner Ops, Fraud, Compliance, Reconciliation and Product.
See the whole business. You’ll follow a transfer from the moment a customer taps send, through partner payout and reconciliation, to the report a regulator reads.
Own numbers that matter. Auditors and Finance rely on what you build. This isn’t a dashboard role.
Put more money in families’ hands. Remittances are a lifeline for millions of families and are worth more than all foreign aid. Every report you automate helps us keep transfers cheap and reliable.
You’ll fit if you have
1-2+ years in a data or analytics role
A technical or quantitative degree, or equivalent experience
Strong SQL and experience wrangling messy, complex data
Some experience automating repetitive work (e.g. scripts, scheduled jobs)
A strong sense of ownership: when something is broken, ownerless or late, you step in, fix it, and make sure it doesn’t happen again
Reliability under deadlines, a “no task too small” attitude, and comfort chasing stakeholders
The right to work in the UK
Nice to have: startup or scale-up experience, Python or R, dbt, Looker or Mode, and something you’ve built, at work or on the side, because the manual way annoyed you.
Sound like you? Apply, even if you don’t tick every box. We’d love to meet you.
