"Production experience" with no definition
Every job spec wants it. Nobody tells you what it actually means or how to get it without a job first.
The Problem
You've finished a dozen tutorials. Your CV still gets ignored.
Tutorials gave you the syntax. They didn't give you the manual. Three reasons that gap stays open.
Skills, but nothing shipped
You can write SQL and Python. You've never shipped work a team would actually use in production.
Roles fill while you guess the order
You watch £40k data roles fill up and feel like you missed the manual on what to learn, in what order.
This is the manual.
The Manual
The 6-stage path from beginner to £40,000 data engineer.
Modelled on production systems inside banking, finance, civil service, defence, energy, fintech and telecommunications. Built by mentors who've shipped them.
- The order to learn things in, so every hour compounds.
- The skills that actually appear on real job specs.
- The career positioning most candidates miss.
Thanks. The roadmap is on its way to your inbox.
What's inside
Four pillars. Six detailed stages. One ordered path.
Most people fail because they jump between fragments. The roadmap gives you the order, so every hour of practice compounds.
Pillar 01
Foundations
The core skills you actually need before the cloud, the pipelines, or the platforms.
Pillar 02
Cloud Mastery
How modern teams move and store data, and why one cloud pattern wins over another.
Pillar 03
Production Readiness
The engineering discipline that turns a working script into work employers will pay for.
Pillar 04
Career Positioning
The CV, portfolio and outreach moves that get you in the room and through the offer.