The Data Engineering Academy
The Data Engineering Academy

Learn data engineering by building real platforms, step by step. From your first pipeline to your next platform.

  • Build end-to-end data platforms on AWS, Azure, GCP, Snowflake and more
  • Every project built the way you'd architect it in production. No toy tutorials
  • Taught by an engineer with over a decade of real-world experience
  • Monthly live office hours with Andreas and a private Discord community

Free learning opportunities

Our concept of learning is not limited to the Academy. Explore free content, projects, and resources and connect with others along the way.

Sponsored by industry partners

Free Labs

Hands-on project courses built in partnership with leading data companies, Databricks, Zapier, MotherDuck, Exasol and more. Free for everyone.

Browse the Free Labs

YouTube Videos

Over 350+ videos, 240,000 subscribers. Free Data Engineering content covering tools, architecture, and real projects.

Visit my YouTube channel

Skills & Tools Guide

Our free 20-page guide to explore the skills and tools of data practitioners. Learn about real-world projects you can start today.

Download the guide now

Cookbook

Download the free 80+ page Data Engineering Cookbook, a reference guide covering fundamentals, tools, and links to get started.

Access on GitHub

Hi, I'm Andreas Kretz

Senior Data Engineer, Educator, and Founder of the Learn Data Engineering Academy

I am a Senior Data Engineer and Trainer, tech enthusiast, and a father. I have been passionate about Data Engineering for over a decade.

First as a self-taught Data Engineer and then Data Engineering team leader in a large company. When I realized how much need there was for training in this area, I followed my passion and started my own Data Engineering Academy.

Since then, I helped thousands of students achieve their goals.

I'll show you how you too can become a successful Data Engineer or use Data Engineering in your job.

Our students found jobs at:

Data Engineering is changing fast. The engineers who stay ahead are the ones who keep building.

AI is changing what tools engineers use. But experienced judgment about what to build, why, and how to make it survive scale is still entirely human.
That's why every project here is built the way you'd actually architect it in production.

Learn Data Engineering content is based on the latest market standard and is constantly being expanded.
With our expertise, we have already boosted the careers of
tens of thousands of people online.

Is Data Engineering for you?

Data Engineering is super hard to learn on your own. Where should you start? Which courses should you take? It's such a very large field with hundreds of tools on different platforms. I have created a test for you to find out if Data Engineering is a topic you should look into.