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Data Test Engineer (3-6 Months Contract Role)

Malaysia

Full Time

Mid Level

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OUR COMPANY

RegASK is the Agentic AI Regulatory Operating System for life sciences and consumer products companies. We believe the future of regulatory work is not just better intelligence; it is intelligent execution.

Powered by vertical AI and backed by a global network of 1,800+ regulatory subject matter experts, RegASK enables organizations to anticipate regulatory change, assess its impact, and orchestrate compliance activities across 160+ markets. Our platform connects regulatory intelligence, decision-making, and workflow execution into a single system designed for modern regulatory teams.

Today, organizations use RegASK across Regulatory Affairs, Quality & Safety, Labeling, Packaging, R&D, and Legal to navigate increasing regulatory complexity with greater speed, confidence, and control. By combining agentic AI, human expertise, and enterprise governance, we are helping global companies transform regulatory operations from a reactive function into a strategic business capability.

As a fast-growing global company, we are always looking for curious, ambitious people who enjoy solving meaningful problems at the intersection of AI, regulation, and enterprise transformation. If that sounds like you, we’d love to meet you.

THE POSITION

As a Data Test Engineer at RegASK, you will be responsible for ensuring the quality, accuracy, and reliability of our data infrastructure - spanning ETL pipelines, cloud-based data services, and business intelligence dashboards. This position requires a detail-oriented and technically strong engineer with hands-on experience in data validation, test automation, and modern cloud data stacks. This role is ideal for someone with a passion for data quality who thrives in a fast-paced, cross-functional environment and takes ownership of testing end-to-end data flows.

Title

Data Test Engineer

Key Responsibilities

• Design and execute test cases for ETL pipelines moving data into and out of MongoDB and Azure data services
• Validate data accuracy, completeness, and transformation logic from source systems through to Power BI dashboards
• Build and maintain automated test frameworks for UI, API, and data layer testing
• Write MongoDB aggregation queries and SQL to verify data integrity and reconciliation
• Test Power BI reports and dashboards for data correctness, calculation logic, and refresh reliability
• Validate Azure Data Factory pipelines, Azure Functions, and related data workflows
• Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions)
• Collaborate with data engineers, BI developers, and product teams on test strategy
• Identify, document, and track defects through resolution

Requirements

• Hands-on experience with MongoDB: aggregation pipelines, indexing, query optimization
• Working knowledge of Azure data services (Data Factory, Synapse, Blob Storage, or Databricks)
• Experience testing Power BI reports - validating DAX measures, data models, and visualizations
• Proficiency in at least one automation framework: Playwright, Selenium, Cypress, or PyTest
• Programming experience in Python, JavaScript/TypeScript, or C#
• API testing experience (Postman, REST Assured, or similar)
• Strong SQL skills for cross-validation against relational sources

How to Apply

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Test Engineer, please submit your resume for consideration.

We appreciate all applications, but only selected candidates will be contacted for an interview.

Thank you for considering joining the RegASK team. We look forward to reviewing your application!

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What is your notice period / earliest available start date?* -- No answer --Immediately available2 weeks1 month2 months3 months or more

How many years of hands-on experience do you have in data testing or QA engineering?* -- No answer --Less than 1 year1 – 2 years3 – 5 yearsMore than 5 years

Which of the following automation frameworks have you worked with? (Select all that apply)* PlaywrightSeleniumCypressPyTestNone of the above

What is your level of experience with MongoDB?* -- No answer --No experienceBasic (queries and CRUD operations)Intermediate (aggregation pipelines, indexing)Advanced (query optimization, performance tuning)

Have you worked with Azure data services (e.g. Data Factory, Synapse, Blob Storage, Databricks)?* -- No answer --Yes, hands-on experience with multiple servicesYes, limited exposure to one serviceNo, but familiar with equivalent tools (e.g. AWS, GCP)No experience

Have you tested Power BI reports or dashboards, including DAX measures and data models?* -- No answer --Yes, extensivelyYes, on a few projectsNo, but familiar with BI testing conceptsNo experience

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