CUSTOMER EXCLUSIVE · MAIA WORKSHOP
Agentic Data Engineering in one day
Half a day in a room with the Maia field team experts and other Matillion customers. We pick a representative Matillion ETL job and let Maia rebuild it in your target warehouse, with engineers reviewing the agent plan before each step. The rest of the session covers Convert Workloads on real jobs, the unsupported-construct register, and what a migration plan to Maia Team actually looks like once you walk out.
2 Upcoming Sessions
London & Denver
PUBLIC · OPEN TO All
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Pick the session that works for you. Limited seats per room.
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UPCOMING SESSIONS — CUSTOMER EXCLUSIVE
Two customer-only sessions. London and Denver.
Open to existing Matillion customers. Each session is built around real Matillion ETL workloads, confirmed in a short pre-call so the room comes in aligned. Bring Matillion ETL leads, the engineers who'd own Maia, and the data leader who owns the budget.
Register for a session
Upcoming Session
Matillion ETL → Maia, live rebuild and migration plan
A representative Matillion ETL job rebuilt by Maia in your target warehouse. Convert Workloads run on a wider sample. Migration plan to Maia Team in your hands by the end.
24
June
London
2:00 - 5:00 PM
25
June
Denver
2:00 - 5:00 PM
The Agenda
Half a day. Workload first, migration plan second.
The structure is the same in both customer sessions. The workload is a Matillion ETL job. Snowflake or Databricks as the target, depending on where you are heading. Convert Workloads runs in the room on a wider sample so you leave with real numbers, not estimates.
Register for a session
2:00 - 2:15 pm
Welcome & setup
Get your environment ready and meet the team (15 min)
2:15 - 2:30 pm
Scene-setting
Use case overview – what we're solving for today (15–20 min)
2:30 - 4:00 pm
Key Session
Live session
Maia rebuilds the Matillion ETL job in the target stack while engineers review the agent plan. Convert Workloads runs on a wider sample alongside: auto-conversion rate, unsupported-construct register, parallel-run validation (90 min).
4:00 - 5:00 pm
Wrap-up
Migration plan to Maia Team. What migrates first, what stays in Matillion ETL for now, and what the cost case looks like across your estate (60 min).
We finish at 5. We will head to a bar nearby – stick around if you can. Some of the best questions get asked there.
We finish at 5. We will head to a bar nearby – stick around if you can. Some of the best questions get asked there.
Customer exclusive
Matillion ETL workload, agent-rebuilt
Convert Workloads run live on real jobs
Migration plan to Maia Team in your hands by the end
“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
Edmund Optics
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 rebuild your kind of Matillion ETL job
We pick a representative Matillion ETL job (a conversion job, say, or an orchestrated chain) and let Maia rebuild it on Snowflake or Databricks. Engineers review the agent plan before each step. By the end, you have watched the same business logic come out of a different system, with tests, documentation, and lineage included.
Sophos lifted productivity 98% on pipeline optimization after migrating to Maia.
2
Run Convert Workloads on real jobs, not slideware
Convert Workloads is the same automated migration utility your account team will run on the full estate. In the workshop we run it on the jobs you flag (or representative samples), score the auto-conversion rate, and produce the unsupported-construct register up front. You leave knowing what migrates cleanly, what needs a human, and roughly how long the messy bits take.
16x productivity gain on pipeline generation, with pipeline analysis dropping from two days to thirty minutes.
3
Leave with a migration plan, not a pep talk
The session closes on a map of your existing Matillion estate against Maia Team: what to migrate first, what to leave in Matillion ETL until next year, and what the cost case looks like across the estate. Engineers walk out with the rebuilt pipeline. The data leader walks out with a tailored business case.
“Maia feels like having a team of junior data engineers who never sleep.”
Dan Adams, Edmund Optics
WHO SHOULD ATTEND
Bring your engineers, leads, and budget owner
These sessions are for existing Matillion customers looking to explore agentic data engineering with Maia. The day is built around joint attendance: the engineers who maintain Matillion ETL, the platform leads who would run Maia around it, and the data leader who owns the migration. Pick any combination, but at least one person from each group makes the day work.
No prep required. We send a starting-point question in advance and use representative Matillion ETL jobs in the session. If you want us to run Convert Workloads on a job you bring, flag it on registration and we will scope it with you in a short pre-call.
No prep required. We send a starting-point question in advance and use representative Matillion ETL jobs in the session. If you want us to run Convert Workloads on a job you bring, flag it on registration and we will scope it with you in a short pre-call.
Who comes to public sessions
Matillion Lead
ETL Developer
Data Engineer
CDAO
Analytics Engineer
Senior Data Platform Engineer
Head of Data Engineering
Director of Data Platforms
Sessions usually draw two to four people from the same organisation. The day works better with engineering and leadership both in the room.
WHAT YOU WALK AWAY WITH
A pipeline, a register, and a plan
The rebuilt pipeline as code, with tests and lineage. A starter unsupported-construct register for your Matillion ETL estate, scored from the Convert Workloads run. An AI-generated session recap covering what Maia did, what Convert Workloads found, and the migration sequence we'd recommend. Worth handing to a manager, a CFO, or your Matillion AE.
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
90-95%
Reduction in manual data engineering effort across more than 200 Maia engagements.
98%
Productivity lift on pipeline optimisation at Sophos after migrating to Maia.
1
Field engineer per session. No juniors. No shadows.