Data Lead

TRIP

. Own TRIP's data quality, definitions, availability, governance and access across the organisation .

Posted 10/27/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, pipeline management, and team leadership within a data-driven environment. Proficient in Snowflake, dbt, and SQL, with a strong focus on data quality and reporting for retail and e-commerce sectors.

Highest-signal resume keywords

Snowflake ExperienceDbt Model DesignData Pipeline ManagementSQL and Python ProficiencyData Governance and Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringSQLPythonData Pipeline DesignData Quality ManagementMetric DefinitionData TransformationData DocumentationData Automation

Soft Skills

Clear CommunicationTeam LeadershipDetail-OrientedTraining and DevelopmentCross-Functional Collaboration

Tools & Technologies

SnowflakeDbtFivetranAirbyteBigQueryGoogle CloudPower BILookerAI Coding AssistantsRetail Data Systems

Industry Keywords

Retail DataE-commerceDTCFMCGMarket DataSyndicated Market DataEPOS DataData GovernanceData Quality StandardsData-Driven Decision Making

Tech Stack

Tools & technologies

BigQueryCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Own TRIP's data quality, definitions, availability, governance and access across the organisation
Set and maintain definitions for core metrics including revenue, contribution margin, customer acquisition cost and retention
Lead the build of a governed Snowflake warehouse with the implementation partner
Own the dbt transformation layer, including model design, testing, documentation and deployment
Use AI coding assistants and agents to write, test and document pipelines and models
Manage data pipelines from the existing BigQuery data lake and sales, marketing, CRM, finance and operations systems
Monitor pipeline health, cost and freshness, and resolve root causes of data issues
Automate and consolidate UK and US retail EPOS, syndicated market and retailer account data
Join retail sell-out, distribution and market-share data with DTC and marketplace data
Provide reliable Commercial and Category reporting on rate of sale, distribution, promotions and share
Support measurement of marketing impact on retail sales
Hire, manage and develop a small data team, including offshore data engineers
Build a roadmap, run short sprints and prioritise work by business impact
Manage data partners and vendors against clear deliverables
Champion data-driven decisions and ensure reporting runs from the warehouse rather than spreadsheets
Explain data to non-technical colleagues and train teams to answer their own questions

Requirements

What you’ll need

Experience leading data in a growing business, typically gained over five years or more in data engineering or analytics engineering, including leading a small team
Hands-on, production experience with Snowflake
Strong dbt experience: modelling, testing, documentation and deployment
Experience designing, building and maintaining data pipelines from SaaS and ad platforms, using tools such as Fivetran, Airbyte or custom connectors
Strong SQL, plus Python for pipelines and automation
Experience with retail data: EPOS or retailer portal data, and syndicated market data such as Circana, NielsenIQ or SPINS
Track record of building and managing a data team, including hiring and developing people
Experience setting data governance, metric definitions and access controls
Rigorous, detail-minded approach to data quality
AI-first way of working using tools such as Claude, Cursor or Copilot
Clear communication and confidence aligning teams using different numbers
Experience managing offshore or remote engineers is a plus
Experience in e-commerce, DTC, food, drink or FMCG, including Shopify or Amazon data, is a bonus
Experience with BigQuery or Google Cloud, or migrating between warehouses, is a bonus
Experience feeding planning, forecasting or finance tools from a warehouse, is a bonus
Experience connecting AI tools or LLMs to company data, is a bonus
Experience with a BI or visualisation platform such as Power BI or Looker, is a bonus

Benefits

Comp & perks

Annual bonus and equity
24 days' holiday, plus your birthday off
TRIP product discount and Friends & Family codes
Free one-to-one therapy with Self Space and Calm app membership
Private healthcare with Vitality, including 50% off Virgin Active gym membership
Breakfast and snacks provided
Monthly Dream Drops CBD Oil allowance
Up to two weeks working abroad each year, taken in a maximum of two blocks
Bright, dog-friendly office one minute from Notting Hill Gate Station
Regular team socials and events