<ul><li>Data engineering professionals are facing challenges in adapting to rapid technological changes due to the increasing demand for advanced skills, especially in the era of AI.</li><li>Prakash Rajagopalan highlighted the impact of LLMs and generative AI on the industry, emphasizing the reshaping of the data engineering lifecycle and processes.</li><li>Key areas for professionals include rethinking the data engineering lifecycle, adapting to new demand patterns, and leveraging AI tools effectively for tasks such as data modelling and code generation.</li><li>Organisations and individuals need to focus on upskilling and adapting to new ways of working, embracing an AI-first approach to augment work processes with AI tools in the coming years.</li></ul>

What Skills Do You Need to Be a Data Engineer in 2025?

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