Maia Workshop

​Agentic Data Engineering in a day

Maia Workshops put data engineers, analytics engineers, and the leaders who run them in a room with Maia field engineering experts for half a day. We scope a representative workload, hand it to Maia, and watch it build a tested, documented pipeline while engineers review the plan before each step. You leave with the pipeline, the architectural decisions written down, and an honest read on implementing agentic data engineering for your stack.
6 Upcoming Sessions
Atlanta, London, Denver, New York City, Dallas and San Francisco
PUBLIC · OPEN TO All
Register your place
Pick the session that works for you. Limited seats per room.
Half day, hands-on
Working pipeline by the end
Agent plan reviewed before every step
Open for all
“Maia feels like having a team of junior data engineers who never sleep.”
1 week to 6 minutes
Pipeline build timeline at Balfour Beatty before and after Maia.
Dan Adams
Global Analytics Manager
Edmund Optics
Upcoming Sessions

Open dates. Public sessions. One workload at a time.

Each session is built around a single workload, briefed in advance, run live with the room. Open to data engineers, analytics engineers, platform leads, and the heads of data who sponsor them.
Register for a session
Upcoming Session
23
June
Atlanta
Afternoon
24
June
London
Morning
25
June
Denver
Afternoon
30
June
New York City
Morning
8
July
Dallas
Morning
9
July
London
Afternoon

Three reasons people spend a half-day with us

AI in data engineering is a scope and trust problem before it is a tooling problem. The workshop is built to surface answers in the same room, with engineers reviewing the agent's work, not watching a slide.
1

See an agent build something real

Maia takes a representative pipeline brief and works through it in front of the room. Schema discovery, transformation logic, tests, documentation, lineage. Built while engineers review the plan before each step. The point is not to watch a demo. The point is to test whether the output earns its way into your production environment.
Pipeline analysis went from one week to six minutes at Balfour Beatty.
2

Past the live build: how the agent decides and what runs around it

After the live build, engineers go deeper. Orchestration patterns, Git workflow, RBAC, lineage trace, agent evaluation, deployment to your warehouse. We show the parts of agentic data engineering that don't fit on a slide: how the agent decides, where it asks for human review, what it does when a transformation fails partway through.
16x productivity gain on pipeline generation, with pipeline analysis dropping from two days to thirty minutes.
3

Leave with a pipeline and a position

The pipeline built in the room is yours to take. So is the recap document covering what was scoped, what the agent did, the open questions, and what to test next in your environment. Engineers walk out with code. The data leader walks out with a number that can survive the next budget meeting.
“Maia feels like having a team of junior data engineers who never sleep.”
Dan Adams, Edmund Optics
WHO SHOULD ATTEND

For people who build, and the people who lead

Maia Workshops are written for two readers in the same room. The engineer who will own the pipeline if it ships. The data leader who will own the budget if it scales. Both have to leave with the same picture, which is why public sessions are deliberately built for joint attendance.

No preparation needed. No data to bring. Just show up ready to build.
Who comes to public sessions
VP of Data
Head of Data Engineering
Data Engineer
Director of Data Platforms
Senior Data Platform Engineer
Analytics Engineer
Sessions usually draw two to four people from the same organisation. The day works better with engineering and leadership both in the room.
The Agenda

Half a day. Hands-on from minute fifteen.

The structure is the same in every public session. The workload is confirmed in advance, so you arrive knowing the scenario. Snowflake or Databricks as the target, depending on the session. The agent plan is reviewed before any step runs.
Register for a session
Morning Session
10:00 - 10:15 am
Afternoon Session
2:00 - 2:15 pm

Welcome & setup

Get your environment ready and meet the team (15 min)
Morning Session
10:15 - 10:30 am
Afternoon Session
2:15 - 2:30 pm

Scene-setting

Use case overview – what we're solving for today (15–20 min)
Morning Session
10:30 - 12:00 am
Afternoon Session
2:30 - 4:00 pm
Key Session

Live agent build: plan to production in 90 minutes

Maia builds against the workload while engineers review the agent plan. Schema discovery, transformation logic, tests, documentation, lineage, orchestration, and deployment to a real warehouse (90 min)
Morning Session
12:00 - 1:00 pm
Afternoon Session
4:00 - 5:00 pm

Wrap-up

Walk through the output, the open questions, what to do next in your stack (60 min)
WHAT YOU WALK AWAY WITH

You don’t leave with slides

The pipeline built in the session is yours: code, tests, documentation, lineage. Every attendee also receives an AI-generated recap covering what was scoped, what the agent did, where it asked for human review, and where it would go next. Worth handing to a manager or a CFO.
Plus some cool goodies! (You'll see)

Pick a date. Bring an engineer

Sessions run frequently, by region. Bring two to four people from the same organization if you can: engineering and leadership in the same room. The day works better that way.
Register for a session
120,000+ hours
Hours of manual data engineering effort saved
Up to 100x
Faster data delivery and throughput
$25M+
In productivity value unlocked