Job description
Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In June 2022, we 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 us the UK’s first EdTech unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees, 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 equip the workforce to win in the AI era.
We are looking for a Senior Data Engineer to join our Foundations team and create the technical foundations, including infrastructure, tools, and APIs that allow our entire company to access product data safely and efficiently.
This role moves beyond just building data pipelines. We are looking for a T-shaped engineer, essentially a backend or platform engineer with deep data proficiency. You will act as an enabler, creating the infrastructure, APIs and data models that allow our Tech teams, and Business teams access and use data efficiently in a self-serve manner.
You are a member of the Foundations team, working closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP).
We are committed to building a diverse and inclusive team. We believe that different perspectives and backgrounds are what make our company and our products stronger.
Who you support:
You are a forward-deployed partner to three key internal groups:
Tech Teams: Who need secure APIs to access data for their services and use MCPs (Model Context Protocols) to become more productive and build the right thing.
Data Scientists & ML Engineers: Who need a stable and performant environment to build and deploy AI models.
Business Users: Who need high-quality dashboards and secure API access to build their own automations and workflows without engineering bottlenecks.
What you’ll do:
Data Modelling & Refactoring
- Take ownership of our data architecture. You will define schemas for new entities and refactor existing models to improve performance and clarity as the product evolves.
Build Interfaces & APIs
Create APIs and connectors that allow users to access data easily without needing deep infrastructure knowledge.
Enable the “Universal Data Layer” that powers our AI agents and internal services.
Enable AI/ML (via IDP)
Build features in our Internal Developer Platform that make it easy to deploy and manage AI models.
Remove the friction between “training a model” and “running it in production.”
Ensure Security and Privacy by Design
Automate security and compliance checks so that data is classified and safe by default.
Replace manual approval gates with automated guardrails, ensuring speed without compromising safety.
Build Domain-Driven Services & APIs
Encapsulate Business Logic: Design and develop services that wrap complex business logic into clean, reusable APIs.
Simplify Data Consumption: Create a “Productised Data” layer, making it easy for non-technical stakeholders to pull high-fidelity reports and build dashboards without needing to understand the underlying raw tables.
Refactor for Scale: Transition legacy data scripts and coupled domains into robust, version-controlled services that the entire company can rely on.
What we’re looking for:
You are a curious engineer experienced in backed, platform and data engineering who cares about building reliable, simple and easy-to-use systems. You don’t need to know every tool on our list perfectly; we value your ability to learn and your foundational engineering skills.
A solid grasp of system design and data structures, coupled with foundational software engineering background. You write code that is tested, modular, and readable (we use Python, TypeScript, and Go).
Proficiency with cloud-native development (AWS or Azure) and containerisation (Kubernetes/Docker).
Experience with Cloud Data Warehouses (Snowflake/Postgres), Data Warehouse API (GraphQL).
Experience in data engineering, including building and maintaining data pipelines. You treat data pipelines like software.
Experience implementing CI/CD (CircleCI/GitHub Actions/GitLab), automated testing, and Data Observability (Datadog).
You can articulate ideas clearly to both engineers and product partners.
You have experience with platform engineering principles, you can demonstrate empathy for users, prioritising usability, configurability and long-term sustainability.
You care deeply about code quality, testing, and documentation, and you aim to build systems that are easy to understand and operate.
You are comfortable refactoring monolithic data structures into modular services that prioritise ease of use for the end consumer.
Interest or experience in building infrastructure for GenAI such as Vector Databases or MCPs (Model Context Protocols).
Familiarity with event-driven architectures is a bonus.
Benefits
Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
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!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
