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Data Engineering Space is a Medium.com publication that provides high-quality content and resources related to data engineering. Our website feature articles, tutorials, and educational content that provide insights into best practices for data engineering.

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Data Engineering in 2025: A Practical Guide for New Grads Entering the AI-First Era

What Every New Data Engineer Needs to Know in 2025

5 min readMay 6, 2025

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Data Engineering in 2025 | Image By ChatGPT

If you start a career in data engineering in 2025, you will be entering a rapidly evolving field. Thanks to AI, data pipelines, orchestration, and even coding are chagingin rapiadly. But foundational skills still matter. This guide will help you bridge that gap — from traditional best practices to the AI-driven future.

I wrote about the core responsibilities of data engineers back in 2022. Now, with the landscape rapidly changing, it feels like the right time to share an updated perspective. This guide provides practical advice, key skills to concentrate on, and a glimpse of what is next, whether you are a recent graduate or transitioning to data engineering.

The Transformation of Data Engineering by Artificial Intelligence

The answer is simple: AI.

You might think AI is your downstream user responsibility. Data engineering plays a supporting role in all the modeling, training, and analytics. Data engineering's daily tasks do not incorporate AI.

It is changing right now. With LLMs and MCP (Model Context Protocol), data engineering coding is no longer a…

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Data Engineering Space
Data Engineering Space

Published in Data Engineering Space

Data Engineering Space is a Medium.com publication that provides high-quality content and resources related to data engineering. Our website feature articles, tutorials, and educational content that provide insights into best practices for data engineering.

Chengzhi Zhao
Chengzhi Zhao

Written by Chengzhi Zhao

Data Engineer | Data Content Creator | Contributor of Airflow, Flink | Blog chengzhizhao.com

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