AI Is Changing Data Engineering Fast
From Data Engineering Central Podcast by Data Engineering in Real Life
April 29, 2026 · 57 min
About this episode
The episode discusses the impact of AI on data engineering, emphasizing the importance of problem-solving and system design over mere tool usage.
In this episode of the Data Engineering Central Podcast, I sit down with Andreas Kretz to break down what is really happening in the industry right now. We go far beyond surface-level AI hype and talk about how data engineering actually works in the real world, what skills still matter, and where most engineers are wasting time. Andreas shares his full journey from industrial IoT and working at Bosch to building one of the largest data engineering education platforms in the world, training over 2,000 students and reaching more than 100,000 engineers globally. We get into what production data systems actually look like, why most learning paths are broken, and how AI is reshaping the role of the modern data engineer. Thanks for reading Data Engineering Central! This post is public so feel free to share it. * We also dig into the uncomfortable truths. AI can write code, but it cannot replace thinking. Most engineers focus too much on tools and not enough on problem-solving, system design, and communication. That gap is only getting bigger. If you are trying to figure out how to stay relevant in data engineering, or you are just getting started and want to avoid years of wasted…
People in this episode
Host: Data Engineering in Real Life
Guest: Andreas Kretz
Topics covered
- AI in data engineering
- data engineering skills
- production data systems
- data engineering education
- problem-solving in engineering
Keywords
- data engineering
- AI
- skills
- education
- production systems
- problem-solving
- system design
Sponsors
Estuary
Mentioned in this episode
Organizations: Bosch
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