Analytics Data Engineer at high-growth AI edtech startup

Jack & Jill/External ATS; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A fast-growing AI edtech startup is searching for an Analytics Data Engineer to take charge of the end-to-end data stack. In this pivotal role, you will convert raw data into actionable insights using tools like dbt and Python. Join as the founding analytics engineer and influence the roadmap for a platform with over one million active users. This opportunity provides a chance to work with a modern stack and impact AI-driven learning experiences, all while collaborating with key departments to establish data governance standards.

Qualifications

• Proven experience building scalable data systems using SQL, dbt, and Python.
• Deep understanding of event tracking and subscription analytics.
• Strong communication skills to connect data modeling with business impact.

Responsibilities

• Design and maintain the semantic layer and core data models using dbt.
• Build and orchestrate reliable ELT pipelines with < 1 hour latency.
• Partner with Product and Finance to codify KPIs and implement data governance standards.

Skills

SQL

Python

dbt

Data Governance

A/B Testing

Tools

PostgreSQL

Argo

Job description

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

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.

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.

The ideal candidate

• 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.

Next steps

Step 1. Visit our website
Step 2. Click 'Talk to Jack'
Step 3. Talk to Jack so he can understand your experience and ambitions
Step 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.