August 16, 2025

Best YouTube Channels to Learn Data Engineering

Thinking of starting a career in data engineering but unsure where to begin? Want to learn how data pipelines, warehouses, and big data tools actually work?

YouTube can be a great place to explore the world of data engineering at your own pace. Whether you’re a beginner or someone transitioning from a different tech role, there are creators who break down complex topics into clear, easy-to-follow lessons.

In this article, we’ll look at the best YouTube channels to learn data engineering, covering everything from Python and SQL to cloud platforms and real-time data processing.

10 Best YouTube Channels to Learn Data Engineering – Overview

Here’s an overview of top 10 YouTube channels to learn Data Engineering.

S.No	Channel Name	Subscribers	Views	Channel Link
1	Learn Data Engineering (Andreas Kretz)	245K	2.8M	Get Started
2	Seattle Data Guy	114K	6.2M	Get Started
3	Data with Zach	217K	5M	Get Started
4	Data Engineering	249K	6.9M	Get Started
5	Databricks	140K	19.1M	Get Started
6	Ken Jee	273K	9.5M	Get Started
7	Alex The Analyst	1.12M	52.8M	Get Started
8	Data School	257K	11.9M	Get Started
9	Data Professor	212K	7.7M	Get Started
10	Snowflake Inc.	58.6K	5.4M	Get Started

Best YouTube Channels to Learn Data Engineering

If you’re searching for the best YouTube channels to learn data engineering, this list will guide you to creators who focus on practical skills, project-based learning, and real-world tools.

1. Learn Data Engineering (Andreas Kretz)

Andreas Kretz explains complex data engineering topics through whiteboard sessions, tools breakdowns, and project tips. His content is beginner-friendly and covers pipelines, cloud tools, and career advice.

2. Seattle Data Guy

Seattle Data Guy shares insights from his experience working in data engineering roles across industries. The videos cover tools like Airflow, Spark, SQL, and data architecture. It’s a great channel for learning how data engineering works in actual companies.

3. Data with Zach

Zach’s channel focuses on project-based learning through full-length tutorials and career guidance. He teaches important tools and workflows like Airflow, data lakes, and scheduling systems. The content is perfect for learners who prefer practical, long-form explanations.

4. Data Engineering

This channel offers detailed tutorials, system overviews, and tool comparisons in the data engineering space. It’s designed to help learners understand how modern data systems are built and maintained. The content is structured and well-suited for self-paced learning.

5. Databricks

The official Databricks channel shares in-depth videos on Apache Spark, Delta Lake, and data lakehouses. It features product walkthroughs, tech talks, and recorded webinars. Learners gain exposure to enterprise-grade tools and scalable data platforms.

6. Ken Jee

Ken Jee’s channel blends data science and engineering, helping viewers understand the overlap between roles. His content includes career tips, tool walkthroughs, and project breakdowns. It’s helpful for those exploring the full data career spectrum.

7. Alex The Analyst

Alex breaks down data tools like SQL, Tableau, and data warehouses in short, clear videos. He shares roadmap videos and tutorials geared toward job preparation. This channel is beginner-friendly and focused on real-world application.

8. Data School

Kevin Markham teaches Python, pandas, and data manipulation through focused, no-fluff tutorials. His teaching style is clear and easy to follow, even for complete beginners. The channel is best for learners who prefer concise, well-structured lessons.

9. Data Professor

Dr. Chanin explains data engineering and machine learning topics through coding tutorials and practical demos. He often uses Google Colab and real datasets to walk through each concept. The channel balances theory with hands-on learning.

10. Snowflake Inc.

Snowflake’s official channel covers data warehousing, architecture, and cloud-native analytics. The videos include product overviews, integration guides, and customer use cases. It’s ideal for learners working with or interested in cloud-based data platforms.

Final Words

YouTube has made it easier than ever to learn data engineering from real-world professionals. With the right channel, you can explore tools like Python, SQL, and Airflow through hands-on lessons.

Choose content that matches your learning style and progress at your own pace. Over time, consistent learning will help you build strong data engineering skills and confidence.

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Frequently Asked Questions

1. What are the best YouTube channels for learning Data Engineering?

Some of the best channels include Data Engineer One, Data with Danny, Seattle Data Guy, and Andreas Kretz. They cover topics like ETL, SQL, Airflow, cloud platforms, and data pipeline design.

2. Why should I choose YouTube for learning Data Engineering?

YouTube offers free access to detailed tutorials, project demos, and industry insights from real data engineers. It’s perfect for learning at your own pace using visual examples and hands-on walkthroughs.

3. How do I choose the right YouTube channel for learning Data Engineering?

Look for channels that match your current skill level and explain tools like Python, Spark, or Snowflake clearly. Check viewer feedback, consistency of uploads, and whether they teach through projects or concepts.

4. Can a beginner learn Data Engineering effectively through YouTube channels?

Yes, many channels start with foundational topics and explain them step by step for beginners. They guide you through basics like data ingestion, transformation, and storage using practical examples.

5. How important is the instructor’s expertise in these Data Engineering YouTube channels?

A skilled instructor can explain tools better and connect them to real-world workflows. Their experience helps avoid confusion and ensures you learn the right practices from the start.

6. Are there YouTube channels for Data Engineering that offer content in multiple languages?

Yes, some channels include subtitles or create content in languages like Hindi, Spanish, or Portuguese. This helps make technical topics more accessible to a global audience.

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