Remote engineer in London

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. 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 moreBuilt by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our missionTruly global team - 250+ people, 50+ nationalities, 50+ languagesGuided by our values - ownership, impact, humility, and heart - in deed, not just wordWe'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. 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.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. 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. You have4+ years in a data role (Analytics Engineering and/or Data Science)Strong SQL skills, and comfortable working with large, complex datasets in dbtStrong communication and stakeholder management skillsExperience with modern BI tools (e.g. and what it takes to enable real self-serveDetail-oriented and pragmatic, with a 'no task too small' attitudeThe right to work in the UK, UAE or USNice to haveExperience in a high-pace context — e.g. startup or scale-upExperience with Python and/or RExperience leading cross-functional projects, or those involving big dataTaptap Values Impact firstTeam nextAccept realityPropose solutionsWin with gritBe proactively candid, with yourself and othersLove the particularOwn itCreate positive energyMaybe, even have funTaptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We strongly encourage applications who are members of underrepresented communities to apply. Dubai;