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Analytics Engineer

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Multiverse

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re looking for an Analytics Engineer to help build and maintain the data models that power analytics and data science across the business. You’ll focus on developing robust and scalable dbt pipelines and contributing to the evolution of our data platform, ensuring that data is accessible, trusted, and well-structured. This role is hands-on and ideal for someone with a strong technical foundation who enjoys solving data problems, writing clean and efficient SQL, and collaborating with analysts, business stakeholders and product teams.

Job Responsibility:

  • Build and maintain dbt models to transform raw data into clean, documented, and accessible data sets
  • Translate business and analytics requirements into scalable data models
  • Design and implement data warehouse schemas using dimensional modelling techniques (fact and dimension tables, slowly changing dimensions, etc.)
  • Participate in design and code reviews to improve model design and query performance
  • Expose these models and associated metrics via our Semantic Layer
  • Implement and maintain dbt tests to ensure data quality and model accuracy
  • Document data models clearly to support cross-functional use
  • Use GitHub and CI/CD pipelines to manage code and deploy changes safely and efficiently
  • Optimise dbt models and SQL queries for performance and maintainability
  • Work with Snowflake
  • developing on top of a data lake architecture
  • Ensure dbt models are well-integrated with data catalogs and accessible for downstream use

Requirements:

  • 2+ years of building and optimising complex SQL (including complex joins, window functions and optimisation methods)
  • Strong understanding of data modelling and warehouse design (e.g., Kimball-style dimensional modelling)
  • Experience using dbt in production environments, including testing and documentation
  • Familiar with version control (GitHub)
  • Experience tuning dbt models and SQL queries for performance
  • Able to independently transform business logic into technical implementation
  • Comfortable participating in and contributing to code reviews

Nice to have:

  • Experience with Snowflake
  • Experience with Semantic Layers (e.g. Looker, Cube etc.)
  • Experience with CI/CD for data workflows
  • Familiarity with Python/Airflow for data transformation or orchestration tasks
  • Experience with data visualisation tools (e.g., Tableau, Looker)
  • Working knowledge of infrastructure-as-code tools like Terraform
What we offer:
  • 27 days holiday
  • 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend)
  • 8 bank holidays per year
  • private medical Insurance with Bupa
  • a medical cashback scheme
  • life insurance
  • gym membership & wellness resources through Wellhub
  • access to Spill - all in one mental health support
  • Hybrid work offering - for most roles we collaborate in the office three days per week
  • Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
  • Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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