AI Agents for Data Engineering Workflows: Best Practices & Challenges

The upcoming meetup is about "AI Agents for Data Engineering Workflows: Best Practices & Challenges". 🚀

AI agents are starting to move beyond code generation and into operational data engineering workflows. 👾

In this roundtable, data engineering leaders will discuss what it takes to make these agents reliable in real-world environments. We’ll get into the hard parts: giving agents enough context across warehouses, dbt, orchestration, lineage, logs, and code; keeping actions bounded and verifiable; testing agent-generated changes safely; and deciding where human review is still required.✳️

In this session, Omri, CTO at Upriver, will talk about how proactive agents can help data teams move beyond alert-based monitoring by understanding operational context, investigating issues, tracing root cause, and generating automated fixes. ✳️

📆 Date & Time: October 27th, 2026 | 09:30 AM PT
🚀 Register here: https://www.linkedin.com/events/aiagentsfordataengineeringworkf7511188598189387776/

What we’ll cover:

→ How AI agents can reason across warehouses, dbt, orchestration, lineage, and code
→ Common challenges and failure modes when deploying agents in production
→ How to safely test and validate agent-generated changes
→ Practical lessons and best practices from real-world implementations