Staff Analytics Engineer

Taptap Send; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Taptap Send is seeking a hands-on Head of Analytics Engineering to deliver first-class data systems. This senior role involves designing and maintaining the dbt modelling layer crucial for decision-making across teams. Responsibilities include owning dbt transformation, problem prevention, and championing data best practices. Candidates must have 7+ years of experience, strong SQL skills, and hands-on cloud technology expertise. This full-time position is open to candidates in London, Dubai, or NYC.

Qualifications

• 7+ years in a data role, ideally in Analytics Engineering or Data Science.
• Strong communication and stakeholder management skills.
• Fluency with modern BI tools and enabling self-serve data.

Responsibilities

• Own dbt transformation, design and build mission-critical models.
• Produce dashboards and tools to surface issues.
• Build documentation and quality checks for self-serve data.

Skills

Analytics Engineering

SQL

Cloud technologies (AWS, GCP, Azure)

Python

Stakeholder management

Data visualization tools (Looker, Mode)

Tools

dbt

modern cloud warehouse (Redshift, Snowflake, BigQuery)

Job description

The Role

We’re looking for a hands‑on Head of Analytics Engineering to own the delivery of first‑class data systems at Taptap Send. This senior technical IC role requires designing, building, and maintaining the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions. It will set the technical bar for Analytics Engineering, own the thorniest modelling problems, and ensure trusted, self‑serve data is default across the company. The role reports to the Head of Data, partners with the COO, Engineering, Finance, Treasury, and Markets teams, and helps shape how the broader data discipline scales. It is a full‑time position open to London, Dubai, or NYC.

Key Responsibilities

• Own dbt transformation: design and build mission‑critical models, and define standards, tests, and documentation to keep them reliable and performant at scale.
• Pre‑empt problems: produce dashboards, alerts, and tools that surface issues before they become incidents.
• Ensure self‑serve data: build the knowledge layer, documentation, and quality checks so others can drive their own analysis.
• Use AI effectively: leverage 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 domain problems 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 Engineering and/or Data Science).
• Strong SQL skills and experience working with large, complex datasets in dbt.
• Strong communication and stakeholder management skills.
• Hands‑on experience with cloud technologies (AWS, GCP, or Azure) and a modern cloud warehouse (Redshift, Snowflake, BigQuery).
• Fluency with modern BI tools (Looker, Mode, etc.) and ability to enable real self‑serve.
• Experience with Python and/or R.
• Detail‑oriented and pragmatic, with an attitude of no task too small.
• Right to work in one of the advertised hubs (UK, US, UAE).

Nice to Have

• Experience in a high‑pace context (startup or scale‑up).
• Experience leading cross‑functional projects with Finance, Engineering, or Product.

Equal Opportunity Statement

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience, and business need. We strongly encourage applications from members of underrepresented communities to apply.

Reasonable Adjustments

If you require reasonable adjustments during the recruitment process, please let us know. Any information you provide will only be used to accommodate your requirements.

Note

Note: we recognize imposter syndrome is real — any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.