Staff Analytics Engineer

The role

You will design, build and maintain the dbt modelling layer for all teams. You will own dbt transformations, produce dashboards and tools, and ensure self-serve data across the company.

What you will do

• Own dbt transformation
• Design and build mission-critical models, standards, tests and docs
• Produce dashboards, alerts and tools to surface issues
• Build the knowledge layer, docs and quality checks for self-serve data
• Use AI tools and agents across the modelling lifecycle
• Tackle high-priority special data projects
• Peer-review code
• Share best practice at weekly meetups
• Mentor the team

Required qualifications

• 7+ years in a data role (Analytics Eng and/or Data Science)
• Strong SQL skills
• 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)
• Hands-on experience with a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery)
• Fluency with modern BI tools (e.g. Looker, Mode etc.)
• Experience with Python and/or R
• Detail-oriented and pragmatic
• 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 the company

Taptap Send is building a cross-border fintech for emerging markets. The company has operations spanning 6 out of 7 continents.