IT & Software

Lead Data Engineer

TodayTix

London · Greater London · United Kingdom

Overview

In this Lead Data Engineer role, you scale and own TodayTix Group’s data platform, enabling product, growth, finance, and CX with a single source of truth and AI tooling. You’ll architect, review, and set technical direction while growing a high-performing team. You’ll interface with cross-functional stakeholders to onboard new data sources and ensure data quality at scale. This is a hands-on leadership role focused on impact, not just modelling, within a fast-moving, ownership-driven environment.

Pay / Benefits
  • hybrid work environment
  • flexible work-from-anywhere days
  • generous pension match
  • complimentary show tickets
  • Employee Assistance Programme
  • healthcare cash plan and cycle to work
Responsibilities
  • Own the data platform end-to-end (dbt project, CI/CD, Snowflake infra)
  • Design and lead onboarding of new data sources as the business scales
  • Collaborate with product, growth, finance, CX, and portfolio teams to model sources cleanly
  • Prioritize a high-demand roadmap and balance reporting, growth analytics, and AI tooling
  • Protect data quality with dbt tests, contract-enforced schemas, and CI checks
  • Provide technical direction for the warehouse and enforce quality through code reviews
  • Lead and develop the team through 1:1s and career development
  • Drive AI adoption in team processes and as consumers of the warehouse
Key requirements
  • 8+ years in data engineering or software engineering with a data focus
  • Led engineers and grown teams (formal or informal)
  • Deep SQL and dbt expertise (production dbt projects, tests, contracts)
  • Hands-on with Snowflake or other MPP warehouses (Redshift, BigQuery)
  • Experience scaling data platforms with onboarding of new data sources
  • Full-stack data platform judgement across ingestion, transformation, and consumption
  • Strong architecture and code-review skills
  • Stakeholder management with product, finance, growth, and CX
  • Product/business mindset and measurement of data-driven decisions
  • AI fluency and comfort with AI agents as data consumers
  • leadership and people management
  • cross-functional collaboration
  • clear communication
  • dbt (models, tests, macros, contracts)
  • SQL (deep proficiency)
  • Snowflake (and other WDW like Redshift/BigQuery)

Reference: WJ-747_30169378

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