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This position was posted on April 16, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Matillion Limited logo

Staff Quality Engineer

Job Overview

Location

Manchester

Job Type

Full-time

Category

Software Engineering

Date Posted

April 16, 2026

Full Job Description

📋 Description

  • As a Staff Quality Engineer at Matillion Limited, you will play a critical role in ensuring the reliability, performance, and quality of the Data Productivity Cloud and Maia, our AI-powered virtual data engineer platform, directly impacting how organizations worldwide harness data at scale.
  • Your day-to-day responsibilities will include designing and executing comprehensive test strategies, leading test automation efforts, collaborating with engineering teams to integrate quality into the development lifecycle, identifying and driving resolution of defects, and mentoring junior engineers in quality best practices.
  • You will join #TeamGreen, a mission-driven, collaborative engineering culture at Matillion Limited, where innovation is fueled by curiosity, cross-functional teamwork, and a shared commitment to transforming data productivity for enterprises globally.
  • In this role, you will deepen your expertise in cloud-native testing, AI-integrated systems, and scalable quality engineering practices, while having the opportunity to influence technical direction, improve release velocity, and contribute to a platform that empowers data teams worldwide.

Skills & Technologies

Senior
Onsite

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Matillion Limited
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About Matillion Limited

Matillion provides cloud-native data integration and transformation products that enable organizations to extract, load, and transform data in cloud data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Synapse. Founded in 2011 and headquartered in Manchester, UK, the company offers low-code ETL/ELT solutions delivered as SaaS or self-hosted, featuring pre-built connectors, drag-and-drop pipelines, and orchestration capabilities that accelerate analytics projects and reduce engineering overhead for enterprises migrating from on-premise systems to modern cloud architectures.

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