As the first dedicated Analytics Engineer, you will own the end-to-end data stack for a platform with over one million active users. Reporting to the founders, you'll transform raw data into a trustworthy source of truth using dbt and Python, enabling self-serve insights and driving product decisions through advanced experimentation and AI feedback loops.
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London, United KingdomNot Disclosed + Equity
Analytics Data Engineer at high-growth AI edtech startup
Join one of the UK's fastest-growing startups as their first dedicated Analytics Data Engineer. With over 1 million monthly active users and fresh Series A funding from top-tier VCs, you will have the unique opportunity to build a modern data stack from the ground up. You'll work directly with the founders to own the semantic layer, orchestrate ELT pipelines, and drive the AI feedback loops that power a global learning platform. If you're a high-impact engineer looking for equity and a seat at the table in a scaling AI venture, this is your chance to make a definitive mark.
Overview
Role overview
Company
About the company
high-growth AI edtech startup
Responsibilities
What you will do
- Design and maintain the semantic layer and core data models using dbt to transform raw events into conformed datasets.
- Build and orchestrate reliable ELT pipelines with < 1 hour latency to move data from production into the analytics warehouse.
- Partner with Product and Finance to codify KPIs, implement A/B testing frameworks, and establish rigorous data governance standards.
Candidate profile
Who this is a fit for
- Proven experience building scalable data systems using SQL, dbt, and Python within a fast-paced startup environment.
- Deep understanding of event tracking, subscription analytics, and the ability to build pipelines that drive engagement metrics.
- A proactive maker mindset with the communication skills to bridge the gap between technical data modeling and business impact.
What makes it remarkable
Why this role is remarkable
- Become the founding analytics hire at one of the UK's fastest-growing startups during a period of massive scale.
- Influence the roadmap of a platform reaching millions of users, backed by top-tier VCs following a successful Series A.
- High-impact ownership over a modern stack (dbt, Argo, PostgreSQL) where your work directly shapes AI-driven learning experiences.
Jack & Jill
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.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
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