Analytics Engineer, Multiverse
1-5 days a week in office
Upskilling platform for AI and tech adoption
Open for applications
Upskilling platform for AI and tech adoption
1001+ employees
Open for applications
1-5 days a week in office
1001+ employees
Company mission
To equip the workforce to win in the AI era.
Role
Who you are
- We’re looking for someone who’s detail-oriented, solution-driven, and pragmatic - someone who takes ownership of their work and is excited to build product-focused data models
- 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
Desirable
- Experience with Snowflake
- 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 the job involves
- 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, engineers, and product teams
- This role sits within the Data & Insight team, reporting to the Head of Analytics Engineering
- 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
- 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
Salary benchmarks
Our take
Multiverse is on a mission to equip the workforce to win in the AI era. That means helping people at all stages of their career gain the tech, data, and leadership skills needed to thrive in an age of rapid automation and AI transformation.
Multiverse positions itself as the upskilling platform for AI and tech adoption, partnering with over 1,500 companies across the UK and US (including Google and Facebook) to deliver a new kind of learning. This approach is grounded in applied, work-based training designed to deliver measurable outcomes. And these apprenticeships are open to individuals of any age or career stage and focus on critical capabilities in AI, data, and tech skills.
And the impact is real. Multiverse learners have driven over $2B in ROI for their employers by directly applying their skills to improve productivity and performance. The company's success is not only reflected in its outcomes, but also in recognition, having secured significant funding in 2022, bringing its post-money valuation to $1.7B and cementing its status as the UK's first EdTech unicorn.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
70 people
Gary, Chief Learning Officer
Our mission
Unlocking economic opportunity and potential for individuals and orgs by closing skill gaps through measured, applied, guided and equitable learning.Company
Employee endorsements
Opportunities to learn
"Whether that's the content in the course you are teaching of which you're developing a deeper understanding, weekly CPD (continuous professional..."
Funding (last 2 of 5 rounds)
Jun 2022
$220m
SERIES D
Sep 2021
$130m
SERIES C
Total funding: $414m
Company benefits
- Working from abroad
- Free access to Wellhub's Starter, Basic and Bronze plans (free gym + more)
- M-Powered long weekend to refresh and recharge
- A focus on wellbeing with access to Spill therapy support and Employee Assistance Programme
- 24 days holiday, 3 winter shutdown days plus 1 life event day and 2 volunteer days
- Full Medical Insurance coverage through Bupa, and your medical history is disregarded
- Life Insurance coverage through AIG. This benefit pays out 3x your base salary to your beneficiaries
- Our Cycle to Work scheme enables bike ownership with up to 42% savings
- Tech scheme: you can purchase new electronics, including accessories, up to £1,000, and spread the cost through 12 interest-free monthly repayments
- Workplace Nursery benefit is provided by Enjoy Benefits and is there to help employees with the cost of childcare at a nursery setting
Company HQ
Paddington, London, UK
Articles
Leadership
Euan Blair
(Founder & CEO)Prior to founding Multiverse, Euan was the UK CEO of Sarina Russo Group, an employment and training provider with more than 1,500 staff worldwide and a turnover exceeding £100 million.
People progressing
Peppa joined Multiverse in 2019 as a Senior Account Executive. Since then, they have held a number of roles and now serve as the Senior VP/GTM.
People breakdown
13%
11%
6%
68%
2%
Asian
Black or African American
Multiracial / Multiethnic
White
Unknown
Last updated on 10 September 2024
Diversity, Equity & Inclusion at Multiverse
Serena Vaughan (Career Mobility Lead)
- We want to be a leader in Diversity, Equity & Inclusion (DEI), so we’re working hard to drive the change we want to see in the world, inside Multiverse.
- Everything we do in the DEI space is undertaken with the goal of being representative of the geographies in which we operate – and our apprentice community. Gender diversity has been a long-term challenge for the tech world. We're proud that 55% of our UK Team identify as women, this increases to 64% of our Global Leadership Team (director level and above). We're also proud of our thriving LGBTQQIAAP community, comprising 11% of our UK Team.
- We're committed to improving the diversity of our workforce, at all levels. We continue to invest in early talent through our in-house apprenticeship scheme – something we know is a fantastic route into our organization for exceptional talent from a diversity of backgrounds.
- Last year we identified improving the diversity of our Global Leadership Team (director level+) internally as an area of focus. Steps that we took included introducing robust DEI monitoring processes, rolling out Inclusive Recruitment Training to all staff involved in the hiring, and launching our first internal, Global Leadership Accelerator program.
- We’re proud that in the last 12 months, the representation of colleagues from ethnic minority backgrounds at director+ levels, globally, has increased from 6% to 19%. This is good progress but we still have work to do and are committed to building a leadership team that is representative of our colleagues and of the communities we serve.
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