Staff Analytics Engineer

About 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.

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

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

Right to work in one of advertised hubs (UK/US/UAE)