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description: A panel at Helsinki data week, hosted by MotherDuck and featuring dltHub, Thoughtworks and Aiven, argues that LLMs are reshaping data team roles. Core...
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og:description: A panel at Helsinki data week, hosted by MotherDuck and featuring dltHub, Thoughtworks and Aiven, argues that LLMs are reshaping data team roles. Core...
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# The future of data work, as discussed in a panel at Helsinki data week

**[dltHub](https://daily.dev/sources/dlthub)** · 9 min read · 0 upvotes · 0 comments

## Summary

A panel at Helsinki data week, hosted by MotherDuck and featuring dltHub, Thoughtworks and Aiven, argues that LLMs are reshaping data team roles. Core reporting work needs fewer people as analytics engineers absorb ingestion and data science tasks. A bigger opportunity is emerging in closing the 'data-action loop' with agents that take real operational decisions, like an inventory agent placing restock orders. The panel stresses learning by doing over reading, since trade knowledge can't be replicated by LLMs, and flags governance risk after a team leaked PII while vibe-coding a dashboard and received a 'beg bounty' demand. dltHub showcased its 'context on load' feature for turning raw data into a canonical knowledge graph.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://dlthub.com/blog/panel-future-data-teams>

## Questions this post answers

### What is a 'beg bounty' in the context of a data leak?

A 'beg bounty' is when someone discovers a security issue, like leaked PII, and demands payment from the affected team rather than reporting it through a formal bug bounty program. One example involved a team that leaked PII after vibe-coding a dashboard on a popular general-purpose web app building tool, then received such a demand.

_Teams shipping AI-assisted dashboards can track real-world security incidents like this one on daily.dev._

### How are data team roles changing because of LLMs and AI agents?

Analytics engineers are picking up data ingestion work while data analysts are absorbing data science tasks, since core reporting is becoming codified and needs fewer people. The bigger emerging opportunity is building agents that close the 'data-action loop,' taking real operational decisions such as an inventory agent automatically placing restock orders from sales and warehouse data.

_Data professionals rethinking their career path can follow this shift toward agentic roles on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#data-engineering](https://daily.dev/tags/data-engineering), [#duckdb](https://daily.dev/tags/duckdb)

[View this post on daily.dev](https://daily.dev/posts/the-future-of-data-work-as-discussed-in-a-panel-at-helsinki-data-week-oiaixyvco)

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