Data Engineering in the Age of AI

Learn how AI is reshaping the data engineer's role, workloads, and infrastructure in this market research survey.

AI has moved out of separate ML platforms and into the data layer. 89% of organizations now deploy AI directly on their data warehouses and data lakes, and every data engineer surveyed reports their responsibilities have changed because of it.

This report, based on 109 practitioners across North America, Europe, and Asia-Pacific, exposes the gap between how fast AI is expanding the role and how equipped teams actually feel to support it.

• Find out why data quality is the #1 blocker to AI adoption and why 74% of those issues originate outside the data team’s own pipelines
• See why 95% of practitioners are concerned about AI’s cost and performance impact on shared infrastructure
• Learn what skills data engineers are prioritizing for 2026 and why 70% still report significant gaps