Lead Data Engineer

TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands––including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema––connects millions of customers with the best in live entertainment.

Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world.

In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we’re expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement.

Life at TodayTix Group

We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there’s no script for what comes next.

New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development.

Above all, you’ll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work.

We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply.

We're looking for a Lead Data Engineer to join TodayTix Group and own how we scale our data platform — the backbone connecting product, growth, finance, and CX to a single source of truth, plus increasingly the substrate AI tooling across the company queries directly. You'll lead the team that owns the project end-to-end — staging, intermediates, and marts — plus the CI/CD pipeline and Snowflake platform underneath it.

This is a technical leadership role, not a heads-down modelling one — most of your time goes to architecture, review, technical strategy, and cross-functional leadership, with hands-on modelling a deliberate minority. You lead by setting direction, raising the team's bar, and owning delivery, quality, and stakeholder trust across a high-demand roadmap.

The foundation is built — your job is what gets built on top of it as the org scales. TTG is expanding as part of MARI, bringing new portfolio companies' event and ticketing data onto the platform; PxT (our partner-facing product) is growing its surface area; and the business keeps adding markets and brands. You'll design how the platform absorbs that growth — new sources, new consumers, higher stakes — without the architecture buckling.

If you thrive in a fast-moving, high-ownership environment, measure your impact by the team's, not just your own, and care as much about business impact as technical craft, we'd love to hear from you — especially if, like the rest of the team, you reach for AI by default.

Please note: This full-time position and qualified candidates must be based in the Greater London area. We encourage collaboration by working a minimum of 2 days per week in the office, with flexibility to choose where you work for the rest of the week.

Own the data platform end-to-end — the dbt project (staging → intermediates → marts), CI/CD, and the Snowflake infrastructure it runs on.

Design and lead the onboarding of new data sources onto the platform as TTG scales, so growth doesn't mean architectural debt.

Partner with data consumers — product, growth, finance, CX, and incoming portfolio teams — to model new sources cleanly rather than bolt them on under deadline pressure.

Run intake and prioritisation across a high-demand roadmap where reporting, growth analytics, and AI-tooling initiatives compete for the same team's time — sequence against business objectives, and say no well.

Protect data quality systematically — dbt tests, contract-enforced schemas, and CI that catches breaking changes before they reach a dashboard or an AI agent.

Set technical direction for the warehouse and give the kind of code review that makes data engineers better — spotting model design flaws before they ship.

Lead and grow the team — 1:1s, feedback, and career development.

Build the factory, not just the models: keep pushing AI into how the team works, and support the org's growing use of AI agents as direct consumers of the warehouse you build.

Experience with a customer data platform (CDP) and identity resolution across multiple event sources — directly relevant to unifying data across our portfolio companies.

Experience with Looker/LookML or another BI semantic layer.

Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data.

Experience building or supporting AI/LLM-facing data products — a chatbot, a RAG pipeline, an agent with database access.

Experience with GitHub Actions-based CI/CD for data pipelines.