Europe Arbeitnow ·
full-timeAnalytics Engineer
Taptapsend · London
Taptap Send is a fast‑growing money‑movement company that processes billions of dollars each month across most continents, offering card, wallet and B2B payment services. As an Analytics Engineer you will be responsible for building and automating the data pipelines that feed critical external reports for finance, compliance, treasury and product teams. The role involves designing reusable dbt models, turning multi‑day manual reporting tasks into scheduled pipelines, creating tests and alerts to maintain data quality, and supporting stakeholders with reliable datasets for month‑end close and regulatory filing. You will collaborate closely with cross‑functional partners, review code with peers and contribute to weekly knowledge‑sharing sessions. The position suits candidates with 1‑2+ years of experience in a data or analytics role, strong SQL skills, experience handling messy data and automating repetitive processes, and a proactive ownership mindset. A technical or quantitative degree or equivalent experience is expected, while familiarity with Python, R, dbt, Looker or Mode and startup environments is a plus. The role is based in London and requires the right to work in the UK.
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. Find more English Speaking Jobs in United Kingdom on Arbeitnow
| Role | Analytics Engineer |
|---|---|
| Company | Taptapsend |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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