Hiring: Staff Analytics Engineer Company: Taptap Send Location: New York, NY Job Posted Time: 2026-09-16 12:37:57 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, BigQuery, GCP, Python, REST, Redshift, SQL, Snowflake, Spark, Stakeholder Management, dbt About the job Experience: •7+ years in a data role (Analytics Eng and/or Data Science) Required Skills: •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 Qualifications: •Be proactively candid, with yourself and others Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!