Senior Analytics Engineer

Togather.com

Senior Analytics Engineer building reliable data foundations at Togather. Collaborating with engineering and product teams to improve business data models and insights.

Posted 5/14/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudSQL

About the role

Key responsibilities & impact

- 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

What you’ll need

- 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
- 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

Comp & perks

- 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

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Hard Skills & Tools

SQLdbtBigQuerySnowflakeRedshiftDatabricksBI toolsdata modelingevent-driven ingestion pipelinessemantic search

Soft Skills

clear communicationability to explain complex conceptsproactive working stylestrong ownershipcommercial awarenessstakeholder communicationcuriosity about AI toolsindependent workinganalytical thinkingproblem-solving