You will build and maintain the dbt models powering analytics and data science across Multiverse.io. Sitting within the Data & Insight team, you'll transform raw data into trusted, clean datasets, designing dimensional models that empower 1,500+ partner companies and internal stakeholders to make confident, data-driven decisions during the AI era.
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Analytics Engineer at Multiverse
We’re looking for an Analytics Engineer to join our Data & Insight team in London to build the dbt models and Snowflake architecture powering our global platform. If you enjoy deep technical work in dimensional modeling and want to impact the way 1,500+ companies upskill their teams, this is the role for you.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Multiverse
Role overview
EducationLondon, United KingdomGrowth (VC-backed)
Multiverse is an upskilling platform specializing in AI, data, and technology skills. The company delivers professional apprenticeships and learning programs that combine expert human coaching with artificial intelligence to enable workforce transformation, close key skills gaps, and drive measurable business impact. Multiverse partners with over 1,500 organizations globally—including Microsoft, Mars, and John Lewis Partnership—to upskill teams, empowering individuals at all career stages to develop AI-first skills. Founded in 2016 and headquartered in London and New York, Multiverse supports over 22,000 learners and is backed by leading investors such as General Catalyst and Lightspeed Venture Partners.
Backed by General Catalyst, Lightspeed Venture Partners, StepStone Group, Index Ventures, BOND, D1 Capital Partners, GV, Audacious Ventures, Founders Circle Capital, Walton family.
What you will do
- Design and implement scalable data models and warehouse schemas using Kimball-style dimensional modelling techniques within a Snowflake environment.
- Build, test, and maintain robust dbt pipelines to transform raw data into documented, accessible datasets exposed via a Semantic Layer.
- Collaborate with the Data Engineering team to optimize SQL query performance and manage deployments through GitHub-based CI/CD pipelines.
Who this is a fit for
- Has 2+ years of experience building complex SQL transformations and optimizing production dbt models for performance and maintainability.
- Demonstrates a deep understanding of data warehouse design, specifically dimensional modelling including fact/dimension tables and slowly changing dimensions.
- Is proficient with version control via GitHub and comfortable working across the full lifecycle from business logic translation to technical implementation.
Why this role is remarkable
- Join the UK's first EdTech unicorn at a $1.7bn valuation, working on critical data infrastructure that supports over 1,500 global enterprise partners.
- Work on a modern, high-performance tech stack featuring Snowflake, dbt, and Looker, with a strong emphasis on engineering best practices and code quality.
- Directly impact the mission of equipping the global workforce for the AI era while enjoying premium benefits like Bupa medical and hybrid flexibility.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Multiverse wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.