The demand for data engineering keeps growing, but data teams are bored by repetitive tasks, stumped by growing complexity, and endlessly harassed by an unrelenting need for speed. To add to that, there's the ever-looming threat of AI swooping in to take people's jobs; but how much of that is just plain hype, and how much could we actually harness AI for real, good engineering?

In this session, we’ll explore how AI is revolutionizing data engineering, turning pain points into innovation. We'll talk about the risks it poses and how we can get ahead of them before they do the damage. We'll run through what you can be doing as a data engineer to stay relevant even as the world goes mad around you. Whether you’re grappling with manual schema generation or struggling to ensure data quality, this session offers practical solutions to help you work smarter, not harder.

Join Simon Whiteley, a deep data engineering expert with a proven track record in avoiding real work through automation as he takes the next step into automating his entire workload. You’ll walk away with a good idea of where AI is going to disrupt the Data Engineering workload, some good tips around how to accelerate your own workflows and an impending sense of doom around the future of the industry!