Analytics Engineer

Taptap Send • Dubai, New York

3d • Hybrid

About The Position

We’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.

Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$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

We're looking for a hands-on Analytics Engineer for our next phase of growth. You’ll design, build and maintain dbt models that teams from across the business — from Finance to Product to Markets — rely on to make decisions. As well as owning your set of domain models, you'll take on high-priority special data projects: the thorny, cross-functional problems that don't sit neatly inside one team and need someone who can dig in from first principles and deliver. If you love working in dbt, untangling messy problems, and seeing your work drive real decisions, this is the role for you. You'll report to our Head of Data, partnering closely with teams including Finance, Compliance, Treasury, Product, Data Engineering and Markets. The role is full-time — we're open to individuals in one of the following hubs: London, Dubai or NYC.

Requirements

• 4+ years in a data role (Analytics Engineering and/or Data Science)
• Strong SQL skills, and comfortable working with large, complex datasets in dbt
• Strong communication and stakeholder management skills
• Experience with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve
• Detail-oriented and pragmatic, with a 'no task too small' attitude
• The right to work in the UK, UAE or US

Nice To Haves

• Experience in a high-pace context — e.g. startup or scale-up
• Experience with Python and/or R
• Experience leading cross-functional projects, or those involving big data

Responsibilities

• Own dbt models end-to-end — design, build and maintain the models in your domain, with the tests, documentation and schema coverage that keep them reliable and performant at scale.
• Lead special data projects — take on high-priority, cross-functional problems that span Finance, Compliance, Product and Markets, digging in from first principles to deliver trusted answers, owning problems end-to-end.
• Partner with teams across the business — from Product to Markets to Engineering – to ensure their domains are modelled correctly.
• Support business critical Finance and Compliance reporting — delivering the datasets behind month-end close and audit requests, and building the pipelines that make each cycle faster.
• Keep data trustworthy — build the tests, checks and alerts that surface issues before they become incidents.
• Use AI effectively — apply AI tools and agents across the modelling lifecycle, from accelerating dbt development to improving data quality.
• Contribute to our analytics community — peer-review code, share knowledge at weekly meetups, and help answer data questions from across the business.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed