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# Staff Analytics Engineer

- **Company:** Taptap Send
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Data Systems, Database Queries, Python (Programming Language), Google Cloud, Snowflake, Build Management, Looker Analytics, Amazon Redshift
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/8d6aca29-307f-4357-b63b-5ffba43ce94f

## About the Role

* 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, Google Cloud Platform 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/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

## Description

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., * 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