Analytics Engineer at $220M Series D EdTech unicorn

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Job Title

Analytics Engineer

Salary

Not Disclosed

Company Description

$220M Series D UK EdTech unicorn valued at $1.7bn

Job Description

You will build and maintain the dbt models powering analytics across the business. Reporting to the Director of Data Engineering, you’ll transform raw data into high-quality datasets on Snowflake, ensuring data is accessible and trusted. This is a technical role focused on dimensional modelling, robust CI/CD pipelines, and driving AI adoption through clean data.

Location

London, UK

Why this role is remarkable

• Join the UK’s first EdTech unicorn on a mission to equip the global workforce for the AI era, having already driven £2bn+ in ROI for 1,500+ partner companies.
• Work in a high-growth environment backed by $220M in funding, where your data models serve as critical infrastructure for 800+ employees and millions in revenue.
• Benefit from a culture that values engineering excellence, offering a hybrid model, 32+ days of annual leave, and dedicated work-from-anywhere flexibility.

• Design and implement scalable data models and warehouse schemas using Kimball-style dimensional modelling techniques within a Snowflake data lake environment.
• Build, test, and document production-grade dbt models to transform complex business logic into clean, accessible datasets for analysts and data scientists.
• Manage the evolution of the data platform by maintaining CI/CD pipelines, performing code reviews, and exposing metrics through a Semantic Layer like Looker or Cube.

• Has 2+ years of experience building and optimising complex SQL and production dbt models, including a strong grasp of window functions and performance tuning.
• Demonstrates deep expertise in data warehouse design and dimensional modelling (fact/dimension tables, SCDs) to support cross-functional analytics requirements.
• Is comfortable working in a modern engineering workflow involving GitHub, CI/CD, and ideally has exposure to Python/Airflow or Snowflake-based architectures.

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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.

Next steps

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Step 2. Click 'Talk to Jack', or go straight there: https://www.jackandjill.ai/jobs/analytics-engineer-at-220m-series-d-edtech-unicorn-624f9f2b-f3f3-492c-baac-c1f36f3e08ef?utm_source=linkedin&utm_medium=job_post&utm_campaign=featured_role_624f9f2b-f3f3-492c-baac-c1f36f3e08ef

Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

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