dbt Labs

SafetyCulture's data team was spending over 14 hours processing a single day of data, with no visibility into what changed or when. Trusted decisions were nearly impossible to make. Thiago Baldim and Yuna(Yunnan) Tang share how they rebuilt their data platform on dbt, turning fragmented pipelines into a fully documented, fully tested foundation for AI. The same data that once took 14 hours to process now runs in 90 minutes. New team members onboard and contribute without the guesswork. And AI product adoption is growing every single day. "Without dbt, we would never have been AI-ready.”

AI agents can now pull dbt docs directly from the source. The dbt product docs team added docs tooling to the dbt MCP server, so agents fetch from docs.getdbt.com as a live source of truth, right inside your existing workflow. Since launching in March: - 1,000+ unique accounts using the tools - 6,000+ docs-tool calls in May alone Mirna Wong shares how the team got here, what the data showed, and what's coming next https://lnkd.in/gvjTUkYE

Jason Ganz spent last week at AI Council. In this week's Analytics Engineering Roundup, he breaks down what current benchmarks get right, where they fall short, and why testing agents in sandboxes may be the field's biggest blind spot. Read it here: https://lnkd.in/g35CirDQ

If you know, you know 😭 The dbt Community Slack is full of people who know. Inside the dbt Community, you'll find: • 70,000+ data practitioners building with the modern data stack • Spaces to ask questions, share wins, and swap ideas • Real-time support from experts and peers • Channels for events, meetups, job opps—and yes, memes Join the conversation: https://lnkd.in/dnMVYqdp

90% fewer workflows. 60% faster pipelines. Data delivered more than an hour earlier, every day. That's what Kaizen Gaming's analytics engineering team achieved after standardizing on dbt across their data organization. The team had grown fast (more than doubling in under six months), and their analytics environment needed to keep pace. Notebook-driven workflows, duplicated logic, and inconsistent practices across domains made it hard to scale with confidence. With dbt, they built a layered modeling structure, automated testing on every pull request, and Slim CI for data quality, all while cutting daily pipeline costs by approximately 60%. Read the full story https://lnkd.in/gmsXvuzd

We're heading to #SnowflakeSummit ❄️ Hear from customers like CarGurus and Fanatics on how they're building with dbt, plus sessions on AI-ready data, natural language analytics, and what's new in the dbt Fusion engine on Snowflake. Swipe to explore the sessions, and save this for when you're planning your schedule. 📍 Find us at booth 2112 all week. Book time with our team here: https://lnkd.in/gbPBaTRw

Something shifted for Jason Ganz when a finance partner wrote a week's worth of models in an afternoon, and the most surprising thing was not being surprised. In this week's Analytics Engineering Roundup, he writes about how AI has changed the field so fast that we've stopped noticing it changing and what that means for the analytics engineers navigating it. Read it here: https://lnkd.in/gmueE6KB

The dbt Developer Agent sees your whole project 🤖 Lee Bond-Kennedy put together a quick demo of the agent in action, going from a blank dbt project to a full staging and data marts layer, on its own. What makes this different from a typical coding agent: • It operates across your entire project, not just a single file • It creates and modifies multiple models, updates tests, docs, and semantic layer definitions • It calls dbt commands and ships reviewable diffs with human-in-the-loop control The dbt Developer Agent is now in preview inside dbt Studio IDE. Read the blog for all the details https://lnkd.in/enxWaVQR

Busta said, "Turn it up a notch." Consider it done. dbt MAINSTAGE has a secret headliner, and we're still not telling you who it is 🤐 What we can say: they're sharing a stage with Busta Rhymes on June 3rd in San Francisco, and you do not want to miss it. You don't need a conference badge to be there, and when the sessions let out, we turn up 🔥 Spots are going fast. Request your invite https://lnkd.in/g7Cw6jk3

The best time to join a company is when things are moving fast 🌱 At dbt Labs, the work is real, the pace is real, and the people around you are building something that matters to the data community. We're growing across several roles globally right now: • Senior Data Engineer → https://lnkd.in/eTT9_N8j • Account Executive, Commercial (DACH) → https://lnkd.in/eWrgmqhB • Senior Customer Solutions Resident Architect → https://lnkd.in/emZxfZ56 • Senior Technical Instructor (EMEA) → https://lnkd.in/eStNRvsi Know someone who belongs here? Tag them in the comments.