Analytics Engineer
Taptap SendPayments company
London, United KingdomMid
Spark Capital
Canaan Partners
Slow Ventures
Breyer Capital
Unbound
Reid Hoffman
Data & AINew
About the role
TL;DR
Analytics Engineer to own reporting, automate pipelines, and build data models.
- •Tired of being told “that’s not your scope”? 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.
Required skills
SQLdbtPythonRExcelGoogle AnalyticsGA4Looker Studio
Nice-to-have skills
Looker
Domain expertise
fintech
Tech stack
SQLdbtPythonRLookerExcelGoogle AnalyticsGA4Looker Studio