dbt Labs

The early bird gets the best Coalesce deal ?? #Coalesce2025 is heading to Vegas, and if you swoop in now, you can save $1,100 on your ticket. ?? Las Vegas, NV ?? Oct 13–16, 2025 Early bird pricing won’t last—secure your spot today and join thousands of data humans like you to rethink how the world does data: https://lnkd.in/edsjqxxT

In case you missed it—dbt Copilot is now GA in dbt Cloud ?? AI is changing data engineering, but without context, it falls short. dbt Copilot taps into deep metadata to help teams work faster, standardize workflows, and deliver high-quality, AI-ready data. Swipe through to see how it’s redefining data engineering ??

Lyst is a data-driven fashion tech company serving millions of shoppers. Behind the scenes? A modern, scalable data stack powered by dbt Cloud + dbt Core. ? Faster analytics workflows ? Governed, high-trust data ? Optimized cost management Hear from Naomi Johnson, Director of Data Platform at Lyst, on how they’re optimizing data for scale.

We’re growing our Sales team at dbt Labs ?? If you’re an accomplished sales professional who’s passionate about disrupting the data analytics ecosystem, this is your chance. Becca Lindquist and her team are hiring across the Americas, building out our Commercial, Enterprise, and Strategic Account Executive teams. Join us: https://lnkd.in/gFHgVcZj

Featured in TechTarget News: dbt Labs CTO Mark Porter discusses how dbt Copilot brings AI-powered automation to data engineering—without sacrificing quality. The highlights: ?? AI-generated code is only as good as its context. dbt Copilot is built directly into dbt Cloud, leveraging metadata, lineage, and models to create reliable, high-quality outputs. ?? Instead of replacing developers, AI should eliminate tedious tasks so teams can focus on what really matters: building trusted data products. Read the full article in TechTarget to learn how dbt Copilot is reshaping AI in data engineering https://lnkd.in/gTPCMH9i

AI is changing analytics. Are your data practices keeping up? Join our Chief Technology Officer, Mark Porter for a virtual discussion on what’s next in analytics—and what it takes to build trusted, scalable, AI-ready data products. What you can expect: ?????????? ???????????????? ?????? ????: Tips on building trusted data products that power AI. ???????? + ??????: Why this acquisition changes the game for analytics teams. ?? ???????? ??&??: Bring your questions. Mark is answering them live. ?? Register for our live session on Wednesday, March 26th at 11 AM ET https://lnkd.in/gdaq5eCr

dbt Copilot is officially GA ?? AI-assisted workflows are changing how data teams work, but most AI tools miss a critical piece: context. Without understanding your metadata, lineage, and models, generic AI can’t deliver high-quality outputs. dbt Copilot is different. It’s built for data engineering—integrated directly into dbt Cloud to automate routine tasks with the rich metadata context you need to deliver high-quality data products, faster. With dbt Copilot, teams can: ? ????????-???????????????? ??????????????????????????, ???????? ??????????, ?????? ??????—tailored to your actual schema ? ?????????????????????? ???????? ??????????????????—with structured YAML and a custom SQL style guide ? ???????? ????????????—without cutting corners Read the blog (link in comments) to learn more about how dbt Copilot is redefining AI in data engineering.?

Speed and quality? You don’t have to choose. At dbt Developer Day, we announced new and coming-soon features that make the developer experience in dbt faster, smarter, and more reliable—so teams can move fast without breaking things: ?????????????? ????????: ?? ?????? ?????? ???????????? & ???? ???????? ?????????????????? → Lightning fast parse times, a hyper-responsive coding experience, and a dbt-native VS Code extension. ?? ?????? ?????????????? → AI that handles the busywork—automating code, tests, and documentation while keeping governance rock solid. ????????? ???????? ??.???? → Sample mode for faster iteration, stricter validation to prevent silent failures. Read the blog (link in comments) to catch up on everything we announced.

Data engineering is on the brink of a radical evolution. And AI is rewriting the rules. Over the past decade, cloud adoption and the rise of analytics engineering have reshaped the field. But AI will completely redefine it. And for data engineers, the work ahead is exciting. Routine tasks will be shrunk to minutes, freeing up time to focus on building the AI systems of tomorrow. So what does that mean for data practitioners? It will push them in one of three new directions. Learn more about how AI will disrupt data engineering and what teams need to do to stay ahead in “How AI will disrupt data engineering as we know it” (link in comments) from Tristan Handy.

Some tools help you work. Others change your career. For many, dbt was the moment everything clicked—when SQL turned into software engineering, when analytics became about building reliable systems, when the data team finally had a shared language. Four data leaders share how dbt shaped their paths: ?? Naomi Johnson went from using dbt at a consultancy to leading an entire data platform team. ?? Katie Claiborne transformed from a SQL slinger to a software-savvy analytics engineer. ?? Valentinas Mitalauskas started in marketing—now he leads engineers. ?? Pip Sidaway found a global community of like-minded data practitioners. How has dbt impacted you? Let’s hear it ??