Taptap Send

3 months ago

Staff Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior technical IC role leading the dbt modelling layer and analytics data platform. Own the delivery of data systems used across Finance, Product and Markets, building self-serve data, dashboards, tests, and documentation at scale. Set the technical bar for Analytics Engineering, mentor the team, and collaborate with COO, Engineering, Finance, Treasury and Markets to scale data practices. London/ Dubai/ NYC hubs.

Location: London

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Director level

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

Key Requirements

•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)
•Experience with Python and/or R

Experience:7+ yearsDataAnalyticsEngineeringDbtSQL

Skills:DbtSQLPythonRLookerModeAWSGCPAzureRedshiftSnowflakeBigQuery

Tech Stack:DbtSQLPythonRAWSGCPAzureLookerModeRedshiftSnowflakeBigQuery

Company Brief

Taptap Send

Taptap Send is a digital remittance platform that enables fast, low-cost international money transfers to underserved corridors using mobile wallets and bank payouts, focused on improving financial access for migrants and their families.

Industry: Payments

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2018

Website LinkedIn

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Taptap Send

3 months ago

Staff Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: London

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Director level

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

Key Requirements

•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)
•Experience with Python and/or R

Experience:7+ yearsDataAnalyticsEngineeringDbtSQL

Skills:DbtSQLPythonRLookerModeAWSGCPAzureRedshiftSnowflakeBigQuery

Tech Stack:DbtSQLPythonRAWSGCPAzureLookerModeRedshiftSnowflakeBigQuery

Company Brief

Taptap Send

Industry: Payments

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2018

Website LinkedIn