Analytics Data Engineer at - AI edtech startup

Analytics Data Engineer

High-growth AI edtech startup. 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.

Location: London, UK

• 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, Postgre
  
  SQL) where your work directly shapes AI-driven learning experiences.

• 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.

• 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.

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1. Visit our website
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2. Click 'Talk to Jack'
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3. Talk to Jack so he can understand your experience and ambitions
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4. Jack will make sure Jill 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.