Big Data London 2026

​Deliver 100× data engineering output
with the same team

See it first hand at Big Data London
Big Data London
When
September 23-24, 2026
Where
Booth #P50
Book
1:1 Meetings available
“Maia handles the hard and repetitive work quickly.”
“Allowing experienced staff to focus on more strategic issues. It enhances their role instead of taking it away.”
Mark Hume
Head of Data, Balfour Beatty

At booth

Visit our booth for live demos and hands-on sessions with Maia by Matillion, the AI Data Automation platform. See how teams are removing the data bottleneck and freeing up 12,000+ hours.
what's going on
Maia Demos
Book your spot

Take a 1:1 demo and see how Maia understands, builds, and operates your data infrastructre end-to-end.

Book your 1:1 now
4 Speaker Sessions
Full lineup announced soon

Stay tuned and keep your eyes peeled for updates on our speakers and the topics covered.

Your cloud data investment is only as good as the pipelines feeding it

Most data teams are stuck in a cycle: requests pile up, engineers burn down the backlog manually, deployments slip. Every new AI initiative joins the queue. And the queue never gets shorter.
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The setup tax
Pipeline configuration still takes days, not hours
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Downstream damage
Bottlenecks slow down every analytics and AI project that depends on clean data
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Always behind
Deployment cycles lag behind business demand
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No time left
Governance and documentation fall behind because there's simply no time

Your data pipelines shouldn’t need a team of engineers to keep them running

Maia designs, builds, and operates them autonomously,  so your data team can focus on what actually moves the business. See it live at Big Data London.
Book a 1:1 at Big Data London

Meet your agentic data team, native to your data platform

Where copilots suggest, Maia acts. It reasons, plans, and executes complex data engineering tasks end-to-end, designing, building, testing, documenting, and operating production-grade pipelines at machine speed, with governance built in.

Built into the Data Productivity Cloud, Maia works natively with Snowflake, adapting dynamically to schema or source changes, applying enterprise controls automatically, and integrating seamlessly with Snowflake features including Snowpark, Cortex, and AI Data Services.
From Request to Live in Four Steps
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Request

One prompt, capture your business requirements.
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Maia plans

Reviews your data. Proposes the plan.
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Maia builds & test

Pipeline built and validated. PR ready.

In your platform

Production-grade, AI-ready data.
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Autonomous execution
Plans, builds, and runs pipelines end-to-end
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Enterprise governance
Security, lineage, and compliance applied automatically
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Cloud-native speed
Processes, deploys, and scales inside your environment

Built for what data teams actually need

Most platforms solve part of the problem. Maia covers all of it — from first request to production-grade pipeline, without the bottlenecks.
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Scale without headcount

Maia augments human expertise with autonomous execution — designing, building, testing, and operating production-grade pipelines at machine speed, helping organizations increase delivery capacity without increasing headcount.
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One platform, not a patchwork

The Data Productivity Cloud unifies data integration, transformation, orchestration, and monitoring in a single platform. Combined with Snowflake's native scalability, customers replace fragmented tooling with a governed, seamless experience.
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From backlog to production — in days

With Snowflake as the foundation and Maia embedded within Matillion, customers move from proof-of-concept to production in days, not months. Engineering teams accelerate pipeline delivery by up to 10×, enabling AI and analytics initiatives to launch on schedule.

Data professionals love Maia

Maia automates manual data work for teams at global enterprises and fast-growing startups alike.
“Maia is helping us become an AI-ready organization by transforming how we build pipelines. In some cases we’ve seen pipeline build time go from 2 days to 10 minutes.”
John Tentomas
CEO Nature’s Touch
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Roberto Lara
VP of Digital Transformation & Analytics
Precision Medicine Group
“The biggest impact of Maia is our data engineers embracing it and helping us work smarter, not harder.”
Ammad Baig
Director of Enterprise Data & AI Services
Precision Medicine Group
"Maia is like having an autonomous data engineering team in digital form. It handles everything from legacy ETL migrations to building complex, production-ready pipelines at machine speed, and the quality of the logic is something we can trust. It’s dramatically accelerating our workflow while reducing the manual overhead."
Global Head of Data Transformation
"With Maia, our teams no longer wait in queues for data. Business users are self-serving insights securely, and our engineering team is now focused on strategy, not support. It’s the first real GenAI platform that understands our data reality."
Chief Data Officer
Insurance Company
This is a reimagining of data engineering and ETL - we’re rethinking what’s possible. With Maia, our analysts can build and debug complex pipelines using natural language, whether in the UI or directly in SQL and Python. It’s incredible to see non-engineers creating production-ready workflows without relying on our dev team.
“Maia replaced thousands of hours of manual work, helped us de-risk audits, and let business teams generate insights in days instead of months. It’s the first AI investment that delivered value fast.”
Group CFO
Global Financial Services Firm
"Maia feels like having a team of junior data engineers who never sleep. We’re a small team, but with Maia we’re punching well above our weight."
Dan Adams
Global Analytics Manager @ Edmund Optics
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Built for you. Backed by your cloud.