Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain core data models, improve analytics, and support customer insights.
  • Company: Join a forward-thinking marketplace company focused on data-driven decisions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and collaboration across teams.
  • Why this job: Make an impact by building reliable data products and enhancing AI tools.
  • Qualifications: Advanced SQL skills, experience with cloud data warehouses, and strong communication abilities.

The predicted salary is between 60000 - 80000 £ per year.

Overview

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

  • 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 Big Query, 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, Saa S 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, Chat GPT or similar
  • Experience with event-driven ingestion pipelines or reconciliation workflows
  • ATS Optimization Keywords

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility.

This unique feature helps candidates tailor their applications more effectively — a feature exclusive to Job Tailor job listings.

  • Hard Skills
  • SQL
  • dbt
  • Big Query
  • Snowflake
  • Redshift
  • Databricks
  • BI tools
  • data modeling
  • event-driven ingestion pipelines
  • semantic search
  • Soft Skills
  • clear communication
  • ability to explain complex concepts
  • proactive working style
  • strong ownership
  • commercial awareness
  • stakeholder communication
  • curiosity about AI tools
  • independent working
  • analytical thinking
  • problem-solving
  • #J-18808-Ljbffr
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Contact Details:

Jobtailor Recruitment Team

We think you need these skills to ace Senior Analytics Engineer

Advanced SQL skills
dbt experience
Cloud data warehouse experience (BigQuery, Snowflake, Redshift, Databricks)
Data quality understanding
BI tool experience
Commercial awareness
End-to-end analytics project delivery