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Day 155
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London · New York · London, United Kingdom
Open 5 months, first seen by us 155 days agoYou’ll set the technical bar for Analytics Engineering at TTS. That 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
Employment type: Full-timeFrom the employer’s posting
Department: FinanceFrom the employer’s posting
Right to work in one of advertised hubs (UK/US/UAE)
Design and build mission-critical dbt models, standards, tests and docs
Build dashboards, alerts and tools that catch issues before they become incidents
Build the knowledge layer and quality checks so others can self-serve analysis
Use AI tools across the modelling lifecycle and help the team do the same
Take on high-priority special data projects on complex domain problems
Design and build the mission-critical models, and the standards, tests and docs
Produce the dashboards, alerts and tools that surface the issues before they become incidents
Build the knowledge layer, docs and quality checks, so others can drive their own analysis
Use AI tools and agents across the modelling lifecycle
Tackle meaty domain problems e.g. via high-priority special data projects
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
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve - Experience with Python and/or R - Detail-oriented and pragmatic, with a ‘no task too small’ attitude
- 7+ 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
- 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, BigQuery) - Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve
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 at TTS. That 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.
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 at TTS. That 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
- Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery) - Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve - Experience with Python and/or R
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 at TTS. That 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
Required
7+ 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, BigQuery)
Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve
Experience with Python and/or R
Detail-oriented and pragmatic, with a ‘no task too small’ attitude
Right to work in one of advertised hubs (UK/US/UAE)
Nice-to-have
Experience in a high-pace context – e.g. startup or scale-up
Experience leading cross-functional projects with Finance, Engineering or Product
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling 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 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
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
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London, United Kingdom
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- Detail-oriented and pragmatic, with a ‘no task too small’ attitude - Right to work in one of advertised hubs (UK/US/UAE) Nice-to-have