At a Glance
- Tasks: Build reliable data models and improve analytics for better decision-making.
- Company: Join a founder-led team at the heart of exciting UK events.
- Benefits: Generous holiday, enhanced pension, free snacks, and training opportunities.
- Other info: Enjoy a dog-friendly office and regular team socials.
- Why this job: Make a real impact in a fast-paced environment with innovative AI tools.
- Qualifications: Strong analytics engineering experience and advanced SQL skills required.
The predicted salary is between 60000 - 80000 € per year.
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.
You will:
- 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
Senior Analytics Engineer in London employer: Togather
Togather is an exceptional employer, recognised as one of the UK's best places to work, offering a vibrant and supportive work culture that prioritises employee growth and well-being. With generous benefits including a substantial holiday allowance, enhanced pension schemes, and opportunities for professional development, employees are empowered to thrive in a fast-paced environment while enjoying unique perks like free food at events and a dog-friendly office. Join us in shaping memorable experiences at some of the UK's most exciting events, where your contributions directly impact our mission to make events better for everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your analytics projects. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Think about how you can explain complex data concepts simply, as this will be key in your role at Togather.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Analytics Engineer role. Highlight your relevant experience with SQL, dbt, and cloud data warehouses, and show us how your skills align with our mission to improve event experiences.
Showcase Your Projects:We love seeing real-world examples! Include specific projects where you've built analytical models or improved data processes. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain complex data concepts and avoid jargon. We want to see your communication skills shine through!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Togather
✨Know Your Data Models
Make sure you’re well-versed in the data models you’ve worked with. Be ready to discuss how you’ve built and maintained them, especially in relation to SQL and dbt. This will show that you can contribute to Togather’s mission of improving data accessibility and reliability.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned messy business questions into clear, actionable insights. Highlight your experience in delivering end-to-end analytics projects and how your work has positively impacted business outcomes. This will demonstrate your ability to connect data work to real-world results.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be working closely with various teams, being able to communicate effectively is crucial. Think of scenarios where you’ve had to break down technical jargon for non-technical stakeholders.
✨Be Curious About AI Tools
Togather is looking for someone who is curious about how AI can enhance data usage. Brush up on your knowledge of AI tools and think about how they can be integrated into data workflows. Showing enthusiasm for innovation will set you apart from other candidates.
