Senior Analytics Engineer

Togather are the team at the heart of great events.

We're a founder-led company of 50+ event specialists working across some of the largest and most exciting events in the UK.

Our Marketplace supports both B2B and B2C customers to handpick standout suppliers across street food, drink and venues for private events, from large-scale summer and Christmas parties to regular office lunches for clients including Spotify, Netflix & BBC.

Live partners with organisers of large-scale public events, using our 360 tech and industry expertise to curate and deliver exceptional food and drink experiences that also drive commercial results for our clients. From major festivals, stadium fanzones and cultural celebrations, we work hand in hand with client teams to deliver exceptional guest experience for the likes of GALA festival, Rock Oyster, Hill Dickinson Stadium and Pride in London.

Internally, we're proud to have been recognised by Tempo and the Startups 100 Awards as one of the UK's best places to work. We care deeply about building an ambitious, supportive and high-performing team.

We started life 10 years ago as Feast It, a two-person marketplace launched from a kitchen table, and today, over 10 million guests a year attend a Togather-powered event. Across every project, our mission remains the same:

To make events better for everyone.

The Role

This is a senior individual contributor role, for someone who enjoys building reliable data foundations, turning messy business questions into clear models, and helping teams make better decisions. You’ll work closely with Engineering, Product, Commercial, Marketing and Customer-facing teams, reporting to the Chief Technology Officer.

The role sits at the intersection of analytics engineering, business insight and modern AI-enabled tooling. We’re not looking for someone who only builds reports. We’re looking for someone who can improve the way data is modelled, trusted, accessed and used across the business - by people, dashboards, internal tools and emerging AI workflows.

- Help design, build and maintain the core data models that teams rely on day to day.

- Improve self-serve analytics (You’ll help teams get faster, clearer answers from data without always needing bespoke analysis.)

- Support customer and supplier journey insight (You’ll help us understand how customers and suppliers move through Togather’s marketplace, where journeys are working well, and where they can be improved.)

- Build data products for people and AI tools (We’re increasingly using AI tools to help teams work faster and make better use of company knowledge. This role will help make sure those tools are built on reliable, governed and well-modelled data.)

- Work closely with stakeholders (You’ll be a senior partner to teams across Togather, helping them understand what data can and can’t tell them.)

Requirements

We’d love to hear from you if you have strong analytics engineering experience and enjoy working in a fast-moving commercial environment.

You’ll likely have:

- Advanced SQL skills and strong experience building analytical data models

- Strong dbt experience, including tests, documentation and maintainable project structure

- Experience with a cloud data warehouse such as BigQuery, Snowflake, Redshift or Databricks

- A good understanding of data quality, data contracts and how to prevent downstream reporting issues

- Experience with at least one BI tool

- Strong commercial awareness and the ability to connect data work to business outcomes

- Experience delivering end-to-end analytics projects, from scoping through to delivery and stakeholder communication

- Clear written and verbal communication skills

- The ability to explain complex data concepts simply

- A proactive, independent working style with strong ownership

- Curiosity about how AI tools can use structured, trusted data safely and effectively

These aren’t essential, but would be useful:

- Experience in a marketplace, ecommerce, SaaS or similarly data-rich business

- Experience modelling supply, demand or customer journey data

- Experience with product analytics tools such as Segment, GA, Mixpanel or similar

- Familiarity with privacy, sensitivity tagging or access-control patterns

- Experience with semantic search, embeddings, vector stores or retrieval-augmented generation

- Experience working with LLM-powered tools such as Claude, ChatGPT or similar

- Experience with event-driven ingestion pipelines or reconciliation workflows

Benefits

• Generous holiday allowance; 25 days (including a Christmas Closure) + bank holidays
• Enhanced Pension through salary sacrifice
• Partnership with Benefits Platform Mintago; EAP service, Workplace Nursery, Cycle to work scheme, Electric car scheme, Health services, Mental Health services, Gym discounts, retail discounts and much more
• Partnership with Code app: Significant discounts in a lot of London's best restaurants, bars and more
• Enhanced Mat & Pat leave
• Free coffee, beer, pizza and an overly stocked snack cupboard in the office
• Regular team socials and events (including 6 weekly Town Halls with companywide socials & 1 Away day a year)
• A shiny new MacBook to work on
• Loads of invites to food-industry events (yes they do usually have free food)
• Dog-friendly office
• Training and certification (Trailhead Superbadges, ADM-201, AI/automation conferences) covered via the L&D budget