Data Test Engineer (3-6 Months Contract Role)

Regask; Malaysia; On-site; MYR 60,000 - 120,000; Full time

Job summary

RegASK is expanding its Data Test Engineer team to ensure scalable data quality across ETL pipelines, cloud data services, and BI dashboards. The role focuses on end-to-end data testing, automation, and collaboration with data engineers and product teams.

Ideal candidates will validate data from source systems to Power BI, implement automated tests for UI, API, and data layers, and contribute to CI/CD pipelines. Strong SQL and Azure data services experience are essential.

Qualifications

• Hands-on experience with MongoDB aggregation pipelines, indexing, and 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.
• API testing experience (Postman, REST Assured, or similar).
• Strong SQL skills for cross-validation against relational sources.

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 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.

Skills

MongoDB

Azure Data Services

Power BI

Automation Frameworks

API Testing

SQL

Tools

Azure Data Factory

Synapse

Databricks

Job description

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.

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
• API testing experience (Postman, REST Assured, or similar)
• Strong SQL skills for cross-validation against relational sources