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Staff Analytics Engineer

Taptap Send· Finance
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London, New YorkFull-timePosted 5mo ago

About the role

Senior analytics engineering role focused on owning and delivering the dbt modelling layer, ensuring trusted self-serve data across the company in a cross-border payments context.

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

Qualifications

  • 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)

Skills

Required:dbtSQLCloud platformsBI toolsPython/RCommunication
Last updated Oct 1, 2026. Interested? Apply on the company site.

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