Full-Time

Software Engineer

Java and GenAI

Posted on 10/31/2025

Matillion

Matillion

201-500 employees

AI-powered data pipeline management platform

Compensation Overview

£71.5k - £107.3k/yr

Manchester, UK

Hybrid

Two days on-site per week in Manchester; flexibility for the right candidate.

Category
Software Engineering (2)
,
Required Skills
LLM
Machine Learning
Java
Data Analysis
Reinforcement Learning
Requirements
  • Deep AI Expertise: Proven experience working with large language / foundation models, including training, tuning, and applying modern GenAI techniques such as reinforcement learning, memory and context systems, retrieval augmentation, structured knowledge integration, optimisation, and evaluation.
  • Academic Rigor: Master’s degree in a relevant field required; PhD preferred.
  • Programming Ability: Strong coding skills in Java are required.
  • Product Delivery Experience: Track record of delivering software features or products in a collaborative environment, ideally within a product-led organisation.
  • Curiosity & Drive: Passion for emerging AI technologies, with the ability to critically evaluate new research and translate it into practice.
  • Collaborative Mindset: Comfortable working cross-functionally to move from prototypes to production-ready features.
Responsibilities
  • Train, fine-tune, and evaluate large-language / foundation models, while also applying parameter-efficient techniques, reinforcement learning, and prompt engineering approaches.
  • Build and enhance memory and context management systems: manage short- and long-term context, embeddings, and retrieval pipelines so Maia can access relevant information effectively.
  • Integrate structured knowledge sources such as knowledge graphs and ontologies to improve consistency, reasoning, and reduce hallucinations.
  • Develop capabilities for ingesting and processing multiple unstructured and multi-format data types (text, audio, etc.), designing pipelines for parsing, embedding, indexing, and retrieval.
  • Optimise inference and system performance: reduce latency, increase throughput, design efficient prompt pipelines, and engineer for cost-effective scaling.
  • Define and implement monitoring and evaluation frameworks: track metrics such as accuracy, drift, error rates, and user satisfaction; set up feedback loops to ensure robustness and reliability.
  • Collaborate with engineers, product managers, and UX teams to turn experimental techniques into stable, scalable features that deliver measurable value.
  • Stay hands-on: write code, prototype solutions, and contribute directly to implementation (with some work in Java where relevant).
Desired Qualifications
  • PhD preferred

Matillion builds a data management platform that helps data teams build, manage, and orchestrate data pipelines. The platform supports moving, transforming, and orchestrating data from many sources using a library of hundreds of connectors, with both no-code and code-based options (SQL, Python, dbt). AI features integrate large language models into pipelines and automatically generate documentation to boost data literacy. Pricing is usage-based, so clients pay for what they use, enabling easy scaling as needs grow. Matillion differentiates itself by its AI-enabled pipeline automation, a unified view that covers no-code to code workflows, and a broad connector ecosystem. The company aims to boost data team productivity by making data pipelines faster to build and easier to manage, while improving data literacy across the organization.

Company Size

201-500

Company Stage

Series E

Total Funding

$309.4M

Headquarters

Altrincham, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • Tim O'Neil as CRO scales Maia sales to enterprises like Merck.
  • Precisely OEM embeds Matillion ELT for multi-cloud AI readiness.
  • $100M funding expands no-code platform amid developer shortage.

What critics are saying

  • Snowflake Unistore erodes Maia value in 6-12 months.
  • Databricks Lakeflow captures customers in 12-18 months.
  • Precisely partnership diverts revenue in 3-6 months.

What makes Matillion unique

  • Maia AI agents build end-to-end pipelines from natural language prompts.
  • Migration Agent converts ETL from 14 platforms to ELT in weeks.
  • Hundreds of connectors enable data movement across any cloud platform.

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Benefits

Company Equity

Health Insurance

Life Insurance

401(k) Retirement Plan

Paid Vacation

Mental Health Support

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
PR Newswire
Mar 26th, 2026
Matillion's AI agent converts legacy ETL pipelines from 14 platforms in weeks

Matillion has launched Migration Agent, a new capability within its Maia AI Data Automation platform that autonomously converts legacy ETL pipelines to modern cloud data warehouses. The tool supports migration from 14 platforms, including Informatica PowerCenter, Alteryx, IBM DataStage and SSIS, to Snowflake, Databricks and Amazon Redshift. Migration Agent parses transformation logic, dependency graphs and pipeline metadata, then reconstructs each pipeline as a warehouse-optimised ELT pipeline. Unlike conventional migration tools, it flags unsupported or ambiguous constructs for human review, compressing what typically requires multi-quarter consulting engagements into weeks. The capability is available now, with Matillion hosting a live webinar on 31st March demonstrating the conversion of 100 Informatica pipelines in 30 minutes.

PR Newswire
Mar 16th, 2026
Matillion appoints Tim O'Neil as CRO to scale AI data automation platform Maia

Matillion has appointed Tim O'Neil as Chief Revenue Officer to scale its enterprise go-to-market strategy amid growing demand for its AI Data Automation platform, Maia. O'Neil joins from leadership roles at Alation and ThoughtSpot, bringing extensive experience in enterprise data software. The appointment follows strong adoption of Maia, which organisations including Merck, EDF and GE Healthcare are using to automate data workflows. The platform integrates with Snowflake, AWS and Databricks, and leverages AI models from labs like Anthropic to deliver automation within existing enterprise systems. Matillion achieved unicorn status in 2021 and serves thousands of enterprises globally, including Cisco, London Stock Exchange Group and ServiceNow. Maia uses autonomous AI agents to design, build and maintain data pipelines, enabling data teams to focus on delivering data products.

Enterprise Times
Mar 12th, 2026
Precisely and Matillion speed data modernisation and AI readiness

Precisely and Matillion speed data modernisation and AI readiness. March 12, 2026 Precisely and Matillion have agreed on a new OEM partnership. It will see Matillion's cloud-native Extract-Transform-Load (ELT) capabilities embedded into the Precisely Data Integrity Suite. It gives customers a single suite of tools that allows them to accelerate the modernisation of their data environments. More importantly, it will speed up the transformation of data for use in AI. Ulf Viney, Executive Vice President of Engineering, Support & Operations at Precisely, said, "AI ambition only delivers ROI when the data behind it is modern, scalable, and trustworthy. "By embedding cloud-native ETL directly into the Data Integrity Suite, we're eliminating fragmentation and giving organizations a unified foundation to move, prepare, and trust their data, accelerating their path to Agentic-Ready Data." How does this deal accelerate data transformation? One of the core processes in data transformation is ETL. Systems extract data from source locations, often with different attributes and object names. Then they transform the data so it becomes part of a unified set. As part of that process, the transformation corrects and enriches the data based on business rules. The result is a higher quality and consistent data set. Once systems transform the data, they load it into a new target system. That makes it the source of truth for new applications. Users can query it, use it for complex analysis, and feed decision-making systems. Increasingly, teams also use that data to support new AI-driven applications. However, research from Precisely and the Drexel University LeBow College of Business shows a problem. The recent Precisely 2026 State of Data Integrity and AI Readiness report (registration required) shows that organisations are concerned about their data integrity status. This is impacting AI projects and making it hard for organisations to show ROI from their investments. Embedding Matillion ETL creates a smoother workflow. Embedding the Matillion ETL into the Data Integrity Suite lets customers build automated pipelines to manage their data. This ability lets them create proven, trusted, repeatable, and scalable processes. These automated pipelines also let data teams build self-service options for users. Users can drag and drop data from different sources. Enrichment is then assigned to that data using other drop-down boxes, giving users control over the level and type of enrichment. Another benefit: many customers use multiple clouds. That means data must be pulled from different sources, which often require different tools. Matillion ETL is a cloud-native solution. It runs in the cloud and accesses data across any cloud storage service. Among the benefits that Precisely says this partnership will deliver are: * Low-code, cloud-native ETL/ELT for rapid pipeline development * Scalable data transformation across hybrid and multi-cloud environments * Faster time-to-insight for analytics and reporting * Trusted data foundations for AI and advanced decision-making * Reduced complexity through unified integration workflows Enterprise times: what does this mean? Many of the challenges that organisations struggle with today are nothing new. They have been around for decades. They are often still using multiple tool sets and doing processes such as ETL manually. Additionally, the volume of data they are working with continues to grow and become more complex. The target usage for the data from advanced analytics to decision-making systems and AI continues to evolve. That means pulling data from a wider variety of sources and being able to carry out deeper enrichment of the data. Without this, the data will deliver mediocre solutions that will fall short of the demands from the business teams. To ease things for customers, Precisely has been investing heavily in data sets for enrichment and adding AI capabilities. Now it is adding more traditional tools into the Data Integrity Suite with Matillion ETL. For customers, this will enable them to speed up data transformation and create greater automation. The question now is what will Precisely add next? February 26, 2026 March 11, 2026

PR Newswire
Mar 10th, 2026
Precisely partners with Matillion to add cloud-native ETL to Data Integrity Suite

Precisely, a data integrity company, has partnered with Matillion to add Extract Transform Load (ETL) capabilities to its Data Integrity Suite's Data Integration service. The OEM partnership enables organisations to move, transform and prepare data within a single suite, eliminating fragmented tools and manual processes. The cloud-native ETL integration combines Matillion's transformation platform with Precisely's broader suite, which includes data quality, governance and enrichment services. The offering supports low-code pipeline development, scalable transformation across hybrid and multi-cloud environments, and faster time-to-insight for analytics. ETL powered by Matillion is now available as part of the Precisely Data Integrity Suite's Data Integration Service. The partnership aims to help organisations modernise data environments and prepare for AI-driven initiatives.

BW Disrupt
Oct 14th, 2025
Matillion Secures $100M for No-code Platform

Matillion, a UK-based cloud data analytics firm, has raised $100 million in a funding round led by Lightspeed Venture Partners. The investment aims to expand Matillion's no-code data platform, which simplifies data integration for non-technical users amid a global developer shortage. The funding will enhance product capabilities, scale operations, and strengthen cloud provider partnerships, positioning Matillion at the forefront of cloud data integration and analytics automation.

INACTIVE