Quality Engineer - AI and Data Platforms Jobs

Matillion

Location:
United Kingdom, Manchester

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

44000.00 - 66000.00 GBP / Year

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Job Description:

This is a pioneering Quality Engineer role at the intersection of data engineering, cloud platforms, and cutting-edge AI. You will be a crucial part of the Platform Stability team, moving far beyond traditional testing to leverage AI for proactive investigation, troubleshooting, and process automation. Your primary objective will be to ensure "Pipeline stability" by performing root cause analysis on errored Data Processing/Pipeline Control (DPC) pipelines. This is a unique opportunity to truly shape what quality engineering looks like moving forward, by focusing on "building pipelines to solutionise" and automating every process to be more productive. The ideal candidate is curious, self-sufficient, and an advocate for an AI-first approach, with a clear path for progression to Senior level.

Job Responsibility:

Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach

Requirements:

Solid foundation in data engineering: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering
Proficiency in coding in Java or JavaScript to navigate the codebase and implement quality frameworks
Demonstrated Autonomy, Curiosity, and Problem-solving skills, with a willingness to look at challenges in a different way and ask for assistance as needed
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling

What we offer:

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Additional Information:

Job Posted:
December 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Quality Engineer - AI and Data Platforms