Analytics Engineer

Multiverse; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading company in upskilling under the role of Analytics Engineer. You will focus on developing data models and pipelines that enhance analytics capabilities, ensuring data integrity and accessibility. Ideal candidates will have a strong technical background in SQL and data modeling, thriving in a collaborative environment.

Qualifications

• 2+ years of building and optimizing complex SQL.
• Strong understanding of data modeling and warehouse design.
• Experience using dbt in production environments.

Responsibilities

• Build and maintain dbt models to transform raw data.
• Implement and maintain dbt tests to ensure data quality.
• Optimize dbt models and SQL queries for performance.

Skills

SQL

Data Modeling

dbt

GitHub

Job description

Join to apply for the Analytics Engineer role at Multiverse

Join to apply for the Analytics Engineer role at Multiverse

Get AI-powered advice on this job and more exclusive features.

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies in the US & UK to deliver a new kind of learning that's transforming today’s workforce.

Multiverse apprenticeships are designed for people of any age and career stage and focus on building critical AI, data, and tech skills. Multiverse learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

In June 2022, Multiverse announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes the company the UK’s first EdTech unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees globally, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to provide equitable access to economic opportunity, for everyone.

What We Need

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. 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.

What You’ll Work On

Data Modelling & Transformation

• 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
  
  

Testing, Documentation, and CI/CD

• 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
  
  

Performance & Architecture

• 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
  
  

What We’re Looking For

Required Skills & Experience

• 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 - But Not Required

• 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

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Higher Education

Referrals increase your chances of interviewing at Multiverse by 2x

Sign in to set job alerts for “Data Engineer” roles.

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London Area, United Kingdom £250,000.00-£450,000.00 7 hours ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 6 days ago

South East, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London Area, United Kingdom £50,000.00-£70,000.00 18 hours ago

London, England, United Kingdom 1 month ago

Billericay, England, United Kingdom £50,000.00-£55,000.00 1 day ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom £50,000.00-£60,000.00 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 10 hours ago

London, England, United Kingdom 20 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.