Agentic Data Engineering:
Understand the Shift
The shift from pipeline coder to data product builder pipeline doesn't happen automatically. Adam Morton's 3-part series gives data engineers a clear view of how agentic systems work, an honest framework to evaluate their own role, and the skills needed to stay relevant as the work changes.
Episode 1
Your role is changing, and it’s a good thing
Discover how the shift to agentic data engineering is transforming the industry by moving beyond manual pipeline maintenance to autonomous, AI-driven systems. Adam Morton explores how data engineers can reclaim up to 60% of their time, shifting from "firefighting" repetitive tasks to focusing on high-impact strategic work and architectural leadership.
What you can expect to learn
The Sustainability Crisis:
Exponentially growing data demands coupled with flat team sizes have created an unsustainable environment where data engineers spend up to 60% of their time on manual pipeline maintenance.
What are Agentic Systems:
Agentic systems are intelligent, autonomous workflows that independently plan, execute, and monitor data pipelines within human-defined guardrails rather than just assisting with code.
Your Opportunity:
By reclaiming up to 60% of your time, you can elevate your role from manual "firefighting" to high-impact strategic leadership in platform engineering and AI architecture.

Related resources
Episode 2
Episode 3
Data management




