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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. 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.

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Location

London, United Kingdom

Compensation

Not Disclosed + Equity

Company

Confidential company

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Role overview

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.

About the company

high-growth AI edtech startup

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.

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.

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.

How Jack & Jill work together

Jack
I get to know what you’re great at, then find roles you’d never find yourself.
Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.

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What happens next?

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 your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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