Full-Time
Data management platform for data pipelines
£52.4k - £78.6k/yr
Senior, Expert
Manchester, UK
Employees are required to work 2 days a week in the Manchester city centre office.
Matillion offers a data management platform that helps data teams build, manage, and orchestrate data pipelines efficiently. The platform features a usage-based pricing model, allowing clients to pay only for the services they use, which supports scalability. It integrates artificial intelligence to enhance data processing and provides a library of connectors for easy data movement across various sources and cloud platforms. Matillion's goal is to improve productivity for data teams by simplifying data management and transformation.
Company Size
201-500
Company Stage
Series E
Total Funding
$309.4M
Headquarters
Altrincham, United Kingdom
Founded
2010
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Company Equity
Health Insurance
Life Insurance
401(k) Retirement Plan
Paid Vacation
Mental Health Support
Hybrid Work Options
👩🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.🧔♂️ A friendly human may check it before it goes live. More news hereOpenAI has introduced new features for its ChatGPT platform, targeting business users.The updates include integrations with cloud services, meeting recording and transcription, and tools for in-depth research.The new features support popular cloud storage platforms such as Dropbox, Box, SharePoint, OneDrive, and Google Drive.This functionality allows users to access information from their files stored on these services.🔗 Source: TechCrunch🧠 Food for thought1️⃣ AI integration in productivity software represents a $200 billion market opportunityOpenAI’s new business features for ChatGPT align with broader market projections for AI-enhanced productivity tools.The productivity management software market is projected to grow from $61.14 billion in 2023 to $200.39 billion by 2032, reflecting a 14.14% compound annual growth rate 1.This growth is driven by increased adoption of cloud solutions and AI tools, which aligns with OpenAI’s focus on integrating with services like Dropbox and Box.The AI and predictive analytics segment is expected to grow rapidly within this market, as businesses seek data-driven insights from their information repositories 1.Content management and collaboration tools, which accounted for 36% of the market in 2023, represent a key area where OpenAI’s meeting transcription and document analysis features could compete 1.Enterprise software providers are increasingly shifting from traditional SaaS models to AI-powered services that deliver better ROI and streamline operations 2.2️⃣ Successful enterprise AI adoption prioritizes practical integration over moonshotsOpenAI’s strategy of embedding AI into existing workflows reflects successful enterprise AI adoption patterns across industries.The MD Anderson Cancer Center case illustrates how practical AI applications focusing on operational efficiency can yield better results than overly ambitious “moonshot” projects 3.After spending $62 million on an unsuccessful Watson project, the center achieved success with smaller AI initiatives that improved patient services and financial performance 3.OpenAI’s integration with familiar business tools (Google Drive, Microsoft tools, Dropbox) mirrors this pragmatic approach by enhancing existing workflows rather than creating entirely new systems.Technical leaders increasingly recognize this trend, with 68% of CIOs, CISOs, and CTOs expecting AI budgets to grow by 10% or more in 2026 for solutions that integrate with existing IT workflows 4.The focus on actionable features, such as converting meeting transcriptions into task lists, highlights the industry’s shift toward AI that delivers immediate, measurable benefits.3️⃣ Data governance remains the critical balancing act in enterprise AI adoptionOpenAI’s emphasis on following “an organization’s access control hierarchy” addresses a significant barrier to enterprise AI adoption.As organizations democratize data access for AI systems, they must implement robust permission models to protect sensitive information, balancing accessibility and security 5.The unpredictability of generative AI outputs heightens concerns about data leakage and confidentiality, making governance features essential for enterprise adoption 5.Organizations must maintain strict data quality standards to ensure AI project success, as poor-quality or improperly secured data can undermine outcomes 5.This is why OpenAI highlights integrations with established enterprise systems that already have governance controls, instead of creating entirely new data pathways.As AI tools like ChatGPT access more corporate data sources, companies must develop proactive governance approaches to navigate emerging AI-specific regulations and ensure compliance 5.Recent OpenAI developments
Intelligent data integration platform Matillion has launched Maia, a team of agentic AI data engineers, bringing an end to data engineering frustrations by handing off the hard manual work while also opening data work up to new users with less technical skills.
Matillion's Maia eliminates grit from data engineering, accelerating time to value from AI and analyticsMANCHESTER, England and DENVER, June 3, 2025 /PRNewswire/ -- Intelligent data integration platform Matillion today announced the launch of Maia, a team of agentic AI data engineers, bringing an end to data engineering frustrations by handing off the hard manual work while also opening data work up to new users with less technical skills.Maia is a team of agentic AI data engineers that augment the work of data professionals today, covering the entire data engineering workflow.Launched at Snowflake's annual user conference, Snowflake Summit 2025 , Maia agents quickly and easily create complex end-to-end data pipelines from natural language prompts, simultaneously enabling less technical users and accelerating data engineering projects."Data engineering is centered on repetitive work that is important, but often gritty and sometimes boring. Imagine what could be achieved if the heavy-lifting of that gritty work was taken away so data engineers could focus instead on driving real business value and impact. That is exactly what Maia does – data engineering at the speed of thought," said Matthew Scullion, co-founder and CEO, Matillion."Maia takes AI capabilities in data engineering far beyond generating code, working end-to-end across the full workflow of data engineering, including ingestion, transformation, orchestration, data quality, DataOps, management and beyond."Like Matillion's flagship Data Productivity Cloud, Maia is built for cloud data and AI, ensuring trust, speed and scale. Soon to be available through Snowflake Marketplace, Maia and Data Productivity Cloud deliver the easy, trusted and connected experience of Snowflake within the cloud giant's ecosystem."Maia allows joint Matillon and Snowflake users to do more with their data and AI, regardless of their technical capabilities," said Kieran Kennedy, VP, Data Cloud Products, Snowflake. "Its architecture means that the technology is trusted by design, providing users peace of mind alongside significant productivity gains. We look forward to seeing how users harness Maia to boost data productivity and free up data engineers to innovate and ideate."Alongside giving data teams their own team of AI data engineers, Maia goes a stage further, enabling other agents to automatically request data pipelines for specific business needs.Matillion first introduced its AI offering in 2023, with further launches throughout 2024, including integrations with Snowflake Cortex AI and Snowpark Container Services.Maia is currently available by invitation only, visit matillion.com to request exclusive access.Media contact: Alice Gibson, [email protected] / +44 7825 381125About MatillionMatillion is the intelligent data integration platform that empowers data teams to build and manage pipelines faster for AI and analytics - at scale.Matillion enables data teams and data professionals to take advantage of their data, AI and the cloud to build valuable data assets that can be used across a wide variety of applications from analytics to AI use cases.Its unified, AI-powered data integration platform enables data teams to spend less time on manual, repetitive, gritty data engineering work, and more time creating business impact
In the last 18 months, Matillion has significantly expanded its AI-driven capabilities, including the introduction of GenAI features, integrations with Snowflake Cortex AI, and support for Snowpark Container Services - announced at Snowflake Summit 2024.
Data integration firm recognized for second year in a row. DENVER and MANCHESTER, England, Dec. 9, 2024 /PRNewswire/ -- Data pipeline platform provider Matillion has been named a Challenger in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools, being recognized for the second year running. "Data plays an even more important role as organizations grapple with the demand of not only analytics but also AI applications and use cases. Data is the lifeblood and data teams are the key