Analytics Engineer

Position: Staff Analytics Engineer
About UsWe’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services.

Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.

We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.

Here’s a little more:

Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and Give Directly ($300M revenue, fastest-growing NGO in the world)
Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission

Truly global team - 250+ people, 50+ nationalities, 50+ languages

Guided by our values - ownership, impact, humility, and heart - in deed, not just word

The Role We’re looking for a hands-on Staff Analytics Engineer to own the delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you’ll design, build and maintain the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions.

You’ll set the technical bar for Analytics Engineering t means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling cross-border payments context then this is the role for you.

You’ll report to the Head of Data, partnering closely with our COO, Engineering, Finance, Treasury, and Markets teams, and help shape how the broader data discipline scales. The role is full-time – we’re open to individuals in one of the following hubs:
London, Dubai or NYC.Key responsibilities

Own dbt transformation. Design and build the mission-critical models, and the standards, tests and docs that keep them reliable and performant at scale

Pre-empt problems. Produce the dashboards, alerts and tools that surface the issues before they become incidents

Ensure self-serve data. Build the knowledge layer, docs and quality checks, so others can drive their own analysis

Use AI effectively. Use AI tools and agents across the modelling lifecycle — from accelerating dbt development to improving data quality — and help the rest of the team do the same Tackle meaty domain problems e.g. via high-priority special data projects

Champion Data. Peer-review code, share best practice at weekly meetups, mentor the team, and raise the bar for data best practice at the company

Required7+ years in a data role (Analytics Eng and/or Data Science)
Strong SQL skills, and comfortable working with large, complex datasets in dbt Strong communication and stakeholder management skills

Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, Big Query)
Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve

Experience with Python and/or RDetail-oriented and pragmatic, with a ‘no task too small’ attitude

Right to work in one of advertised hubs (UK/US/UAE)
Nice-to-have…