QA Engineer - Data

Keypath Education

4d • Hybrid

About The Position

Keypath Education is a leading EdTech company that partners with universities to design, launch, and manage high-quality online degree programs. Through data-driven decision-making and deep sector expertise, we help universities grow enrolments, improve student outcomes, and expand access to education worldwide. The Opportunity Are you passionate about data quality and ensuring the insights businesses rely on are accurate, trusted and actionable? At Keypath, we're looking for a QA Engineer - Data to join our growing APAC Data team. In this role, you'll help ensure the quality, integrity and reliability of the data that drives decisions across our business and supports universities around the world in delivering life-changing education. Working alongside Data Engineers, Analysts and business stakeholders, you'll play a key role in testing and validating data solutions, improving automation, and helping build a culture where quality is embedded in everything we do. If you enjoy solving complex problems, working with modern data technologies, and making a meaningful impact through data, we'd love to hear from you.

Requirements

• Experience in Data QA, Data Engineering, Software Testing or a related technical field.
• Strong SQL skills and the ability to validate, analyse and troubleshoot data with confidence.
• Experience testing data pipelines, data warehouses, reporting solutions or analytics platforms.
• Exposure to automated testing, scripting or programming languages such as Python.
• A strong understanding of data quality principles and a genuine passion for accuracy and continuous improvement.
• Excellent problem-solving skills and the ability to work effectively with both technical and non-technical stakeholders.
• A collaborative mindset, growth mentality and eagerness to learn new technologies and approaches.

Nice To Haves

• Experience with modern cloud data platforms such as Microsoft Fabric, Snowflake or similar technologies will be highly regarded.

Responsibilities

• Champion data quality across our platforms, pipelines and reporting solutions, ensuring stakeholders can make decisions with confidence.
• Test and validate data transformations, integrations and data products to ensure accuracy, completeness and reliability.
• Develop and maintain automated testing solutions that improve efficiency and support the scalable delivery of data initiatives.
• Partner closely with Data Engineers, Analysts and Product teams to define quality standards and embed best practice throughout the development lifecycle.
• Investigate data issues, identify root causes and work collaboratively to implement sustainable solutions.
• Validate dashboards, reports and analytics products to ensure consistency and trust in business insights.
• Contribute to the continuous improvement of our QA frameworks, testing practices and data governance standards.
• Help shape the future of quality engineering within a modern cloud-based data environment.

Benefits

• Flexible working arrangements: office-based, hybrid, or fully remote
• Company-provided laptop and essential equipment
• Medical & Dental benefits, Health and wellbeing support
• Continuous learning and career development: LinkedIn Learning, Career development programs & Internal learning labs
• Employee-led initiatives, including Culture Club and more
• Regular company events—both in-person and virtual

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed