Quality Engineer - AI and Data Platforms

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. This is a hybrid role, requiring 2 days a week in our fantastic Manchester city centre office.

What you will be doing

• 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.

• 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.

At Matillion, we are committed to providing competitive salaries in line with market standards. Our estimated compensation range for this position is £44,000 - £66,000, but the final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint-hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values;

• Confidence without arrogance

• Working with integrity

• Customer obsessed

• Innovate and demand quality

• Bias for action

• We care We operate a flexible working culture that promotes work-life balance, with benefits including:

• Company Equity

• 30 days holiday + bank holidays

• 5 days paid volunteering leave

• Health insurance

• Life Insurance

• Pension

• Access to mental health support More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world.

Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. We are now hiring a Quality Engineer to join our Platform Stability team, focusing on AI automations.