The Agentic Shift in Data Engineering
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About this event
AI agents are changing data engineering on two fronts at once.
In development, they compress the engineering loop: helping write SQL, generate transformations, debug pipelines, create tests, document systems, and reason about legacy codebases.
In production, they become active participants in the data ecosystem: consuming context, calling tools, triggering workflows, creating side effects, and introducing new forms of operational chaos.
This changes the role of the data engineer. It is no longer enough to build pipelines that move data from A to B. Data engineers now need to design the control layer for agentic systems: trusted context, data contracts, permissions, observability, audit trails, and closed feedback loops.
The future data engineer is not just a pipeline builder. They are the architect of controlled autonomy.
About the speaker:
Nikita Bakachev is a Data Engineer at Meta with over a decade of experience building high-efficiency data platforms and leading engineering teams across fintech and technology sectors. He specializes in large-scale data architecture and pipeline optimization, having previously served as a Lead Data Engineer at Deutsche Bank in Berlin and NabuMinds in Tallinn. Highly passionate about community and education, he is the co-creator and active moderator of the 1,500+ member dbt users group and spent nearly seven years sharing his expertise as a Visiting Lecturer teaching database systems at Russian Technological University.
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