Data Test Engineer

Regask • ,

5d

About 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.

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

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

What This Job Offers

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