Maia - An AI Data Engineer for Modern Data Teams

Speakers

Julian Wiffen, AI & Research Lead, Matillion

Julian leads research into how AI can be embedded into Matillion’s products, working closely with engineering and product teams to design practical, production-ready agentic systems.

Remobi: Session host and discussion partner

Overview

AI is transforming how data teams work - but where does it genuinely add value, and where does human judgement remain essential?

In this technical, experience - led session, Matillion and Remobi go behind the scenes on how Maia, our AI Data Engineer, was designed and built. You’ll see how Maia operates within existing data environments, how it interacts with pipelines and governance models, and what teams are learning as they adopt agentic AI in production settings.

This is not a hype-driven AI discussion. It’s a practical look at how AI can support real data delivery, reliability, and scale.

What you’ll learn

• What Maia is and how it fits within the Matillion platform
• The data engineering tasks Maia supports today - from building transformations to debugging pipelines
• How Maia uses pipeline context, metadata inspection, and sampling to validate its outputs
• Where AI assistance accelerates delivery - and where human oversight remains critical
• Lessons learned from building Maia and deploying it in real-world data environments