At a Glance
- Tasks: Design and maintain core data models to support decision-making across teams.
- Company: Join a dynamic team at Togather, a leader in the UK events industry.
- Benefits: Enjoy 25 days holiday, enhanced pension, and discounts at top restaurants.
- Other info: Work in a dog-friendly office with regular socials and training opportunities.
- Why this job: Make a real impact by improving data accessibility and insights for exciting events.
- Qualifications: Strong analytics engineering experience with advanced SQL and cloud data warehouse skills.
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.
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.)
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 employer: Togather
At Togather, we pride ourselves on being a dynamic and innovative employer that champions a supportive and high-performing work culture. With generous benefits including a 25-day holiday allowance, enhanced pension schemes, and opportunities for professional growth through training and certifications, we ensure our team members thrive both personally and professionally. Our vibrant office environment, complete with free snacks and regular team events, fosters collaboration and creativity, making us one of the UK's best places to work in the events industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨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 in SQL, data modelling, and any cool AI tools you've worked with.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics engineering. Be ready to discuss how you've tackled messy business questions and improved data processes in previous roles. Confidence is key!
✨Tip Number 4
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 at Togather.
We think you need these skills to ace Senior Analytics Engineer
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 data modelling, and show us how your skills align with our mission to improve event experiences.
Showcase Your Projects:Include examples of past analytics projects you've worked on. We want to see how you've tackled messy business questions and turned them into clear, actionable insights. This will help us understand your problem-solving approach!
Communicate Clearly:Since you'll be working closely with various teams, it's crucial to demonstrate your ability to explain complex data concepts simply. Use straightforward language in your application to show us you can bridge the gap between data and business outcomes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the hiring process. We can't wait to hear from you!
How to prepare for a job interview at Togather
✨Know Your Data Models
Make sure you understand the core data models relevant to the role. Be ready to discuss how you've built and maintained similar models in the past, and how they can drive better decision-making for teams.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem on the spot, so brush up on your querying techniques and be ready to explain your thought process.
✨Communicate Clearly
Since you'll be working closely with various teams, practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders effectively.
✨Be Curious About AI Tools
Express your interest in how AI tools can enhance data usage. Share any experiences you have with AI in analytics, and be prepared to discuss how you envision integrating these tools into the data processes at Togather.
