TL;DR

Quality Engineer (AI and Data Platforms): Ensuring pipeline stability and quality assurance for AI-powered data engineering platforms with an accent on AI-driven automation, root cause analysis, and pipeline process automation. Focus on building automated pipelines, leveraging AI for testing, and collaborating across teams to enhance platform stability.

Location: Hybrid role with 2 days per week in Manchester city centre office, UK

Salary: £44,000 - £66,000

Company

%hirify_global% is an intelligent data integration platform company focused on data productivity and AI-powered virtual data engineers.

What you will do

Leverage AI and agentic solutions to accelerate investigation, generate test cases, and improve quality assurance.
Perform root cause analysis on pipeline stability issues, especially memory errors in data pipelines.
Build pipelines to automate processes and increase team and product productivity.
Collaborate extensively with various teams to raise and resolve issues effectively.
Champion shift-left testing and lead an automation-first approach.

Requirements

Location: Must be able to work hybrid with presence in Manchester office
Strong foundation in data engineering including SQL, ETL/ELT, and data pipeline management.
Practical AI experience and advocacy for AI-first quality engineering.
Proficiency in Java or JavaScript for quality framework implementation.
Experience managing end-to-end testing of SaaS applications and test automation tooling.
Autonomy, curiosity, and problem-solving skills.

Culture & Benefits

Flexible working culture promoting work-life balance.
Company equity and competitive salary.
30 days holiday plus bank holidays and 5 days paid volunteering leave.
Health and life insurance, pension, and mental health support.
Inclusive and diverse work environment with core values emphasizing integrity, innovation, and customer obsession.