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Although AI is writing more code, that code supports architectures that can evolve continuously without being rebuilt from scratch. While some routine coding tasks may become something AI can fully handle, the demand for engineers to frame the correct problems, direct collaborators and validate outputs will only increase.

In this new landscape, the skillset for data engineers is evolving. Technical fluency remains essential, but so does the ability to collaborate with AI agents, understand system dynamics and ensure ethical, compliant and effective outcomes. Coding is becoming more abstract, but the creative and strategic understanding of engineering is growing in importance.

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