Quality Assurance Engineer - Data and Artificial Intelligence

A leading consulting firm is seeking a Quality Assurance Engineer specialising in Data and Artificial Intelligence to join their expert team. This senior individual contributor role offers the opportunity to shape the quality, reliability, and trustworthiness of enterprise-level Data and AI solutions across complex client delivery and transformation programmes.

What you'll do:

As a Quality Assurance Engineer - Data and Artificial Intelligence based in Kuala Lumpur, you will play an integral role in shaping the future of enterprise Data & AI solutions. Your day-to-day responsibilities will involve designing robust quality assurance strategies tailored to complex client requirements while collaborating with cross-functional teams to deliver reliable outcomes. You will lead efforts to validate intricate data pipelines for optimal performance while ensuring compliance with governance standards. By performing rigorous testing on analytics platforms as well as machine learning models, you will safeguard the accuracy of business-critical insights. Your proactive approach to identifying risks will be essential in maintaining high standards of reliability. Additionally, you will mentor junior colleagues-sharing your expertise to uplift organisational capabilities-and communicate findings clearly to stakeholders. Success in this role requires a commitment to excellence in every aspect of quality assurance while embracing opportunities for personal development within a supportive network.

• Define, own, and execute comprehensive QA strategies for Data and AI initiatives, including detailed test planning, automated testing processes, and robust data validation frameworks.
• Lead data quality assurance efforts across ingestion, transformation, and consumption layers by ensuring accuracy, completeness, timeliness, and consistency throughout all stages.
• Validate complex data pipelines for performance optimisation, scalability enhancements, metadata completeness checks, and lineage accuracy in alignment with governance standards.
• Perform both functional and non-functional testing of analytics platforms as well as machine learning and artificial intelligence solutions by validating model inputs, outputs, and business rules in close collaboration with data scientists and engineers.
• Drive user acceptance testing (UAT) and regression testing activities across multiple programme releases while acting as the primary QA point of contact for stakeholders.
• Proactively identify defects and potential data risks through thorough analysis; perform root-cause investigations; work collaboratively with engineering teams to ensure timely resolution of issues.
• Mentor junior QA team members by sharing best practices, uplifting automation frameworks, and contributing to the overall enhancement of QA standards across the organisation.
• Engage effectively with client stakeholders by clearly explaining QA findings, articulating risks, and providing actionable recommendations in a professional manner.
• Support strategic alignment by strengthening data governance controls through consistent application of traceability measures and validation protocols.
• Enable platform modernisation initiatives by implementing scalable automated QA practices that drive efficiency across Data & AI projects.

What you bring:

To excel as a Quality Assurance Engineer - Data & AI in this consulting environment based in Kuala Lumpur, you will bring substantial experience gained from previous roles focused on enterprise-level quality assurance within data-centric domains. Your background should include hands-on involvement with automated testing frameworks tailored for complex analytics solutions alongside deep familiarity with modern cloud architectures. You will possess advanced technical skills such as SQL expertise combined with an analytical mindset capable of navigating intricate datasets. Exposure to artificial intelligence or machine learning validation processes will further enhance your suitability for this position. Beyond technical acumen, your ability to communicate empathetically with diverse teams-both technical specialists and client representatives-will set you apart. A nurturing attitude towards mentoring junior staff members is highly valued here; your willingness to share insights contributes directly to collective success. Dependability under pressure is essential: you must balance multiple priorities while applying sound judgement rooted in risk awareness. Above all else, your commitment to upholding high standards of accuracy ensures that every solution delivered meets stringent requirements for reliability.

• Demonstrated experience spanning 5-10 years in Quality Assurance roles with strong exposure to data management systems, analytics platforms, business intelligence tools or artificial intelligence technologies.
• Proven track record designing and implementing automated testing frameworks specifically for data pipelines as well as analytics-driven solutions within large-scale environments.
• Advanced SQL proficiency coupled with analytical skills that enable you to interrogate complex datasets thoroughly while identifying anomalies or inconsistencies efficiently.
• Hands-on understanding of modern data architectures including cloud-based platforms (such as AWS or Azure), ETL/ELT pipeline design principles, and reporting layer integration techniques.
• Exposure to AI/ML solution testing encompassing feature validation processes or model monitoring activities is highly desirable for this position.
• Experience working within consulting environments or agile delivery teams supporting major transformation programmes involving multiple stakeholders.
• High attention to detail demonstrated through meticulous focus on accuracy, reliability, repeatability of testing processes across various project phases.
• Ability to operate dependably within independent settings while managing competing priorities using risk-based judgement approaches aligned with organisational goals.
• Excellent interpersonal communication skills enabling effective engagement with technical teams as well as non-technical client stakeholders when presenting findings or recommendations.
• Commitment to collaborative teamwork evidenced by mentoring junior colleagues or contributing positively towards communal knowledge sharing initiatives.

What sets this company apart:

This consulting firm stands out for its unwavering commitment to creating an inclusive workplace where every team member's contributions are valued equally. The organisation fosters a culture built on collaboration-encouraging open communication between colleagues at all levels-and provides access to flexible working opportunities so you can achieve balance between professional ambitions and personal wellbeing. Training programmes are regularly offered so you can continue developing new skills relevant to emerging trends in Data & AI technology; knowledge sharing is actively promoted through communal networks that connect experts across disciplines. Supportive leadership ensures that guidance is always available when needed while recognising achievements both big and small. The company's dedication extends beyond project delivery: it invests in building dependable relationships among staff members so everyone feels empowered to succeed together. By joining this team you become part of a network that values empathy just as much as expertise-a place where growth happens collectively through mutual respect.

What's next:

If you are ready to take the next step in your career journey within Data & AI quality assurance-where your skills will be nurtured by a supportive team-this opportunity awaits you!

Apply today by clicking on the link provided below; we look forward to welcoming your application.

Do note that we will only be in touch if your application is shortlisted.

Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C