Analytics Engineer

The role

You will own external reports and automate them into reliable, reusable dbt models. You will work with Finance, Compliance, Treasury, Product and Data Engineering to model data correctly.

What you will do

• Deliver datasets behind month-end close and regulatory reporting on time.
• Turn manual work into scheduled pipelines, runbooks and dbt models.
• Build reports and reconciliations as each product and market goes live.
• Build models so people and AI agents can answer repeat questions.
• Build tests, checks and alerts to catch reconciliation breaks and stale data.
• Peer-review code and join weekly meetups.

Required qualifications

• 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
• Reliability under deadlines
• A no task too small attitude
• 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
• something you’ve built, at work or on the side, because the manual way annoyed you

About the company

Taptap Send moves billions of dollars a month across 6 of 7 continents. It is a money movement business involving cards, wallets, business-to-business payments, and institutional payments.