Full-Time QA Engineer - Data & ETL/Analytics

We are looking for a QA Engineer (Data) to join our Technology Vertical in Australia. You will be a key part of the team ensuring the accuracy, completeness, and reliability of data across our Payments vertical. This is a SQL-heavy role, focused on validating ETL processes, data transformations, and reporting quality across data pipelines and warehouses.

• Validate data accuracy, completeness, and transformation logic across multiple systems and environments.
• Write and execute advanced SQL queries to check data accuracy, transformations and integrity across large datasets.
• Build and enhance QA automation frameworks for data testing.
• Collaborate with cross-functional teams including Developers, Product Managers, QAs to ensure test coverage and alignment with business goals.
• Mentor junior QA team members and provide technical guidance on BI testing best practices.
• Contribute to the development and refinement of QA frameworks, standards, and automation strategies for data testing.
• Participate in Agile ceremonies to guide QA planning and estimation, validate data quality in SIT and production, and recommend improvements to QA processes and automation strategies.

What would make me a good candidate?

The ideal candidate will have proven QA experience in BI and data warehouse environments, a strong command of SQL, and a hands-on, testing-focused mindset to ensure data accuracy and reliability while driving improvements in QA practices.

Required Skills & Experience

• Proven QA experience with a few years focused on BI, data warehouse, or analytics testing.
• Advanced SQL skills and experience validating large, complex datasets.
• Strong understanding of ETL processes, data modeling, and data governance principles.
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or similar.
• Strong experience in test automation for data, ideally building frameworks or automation solutions from scratch.
• Familiarity with Agile/Scrum methodologies and tools like Azure Dev Ops, JIRA and Confluence.
• Knowledgeable in API testing (e.g., Postman)
• Excellent analytical, problem-solving, and communication skills.
• Strategic thinker with a strong attention to detail and a passion for data quality.

Preferred Qualifications

• Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) is advantage.
• Exposure to data quality frameworks or tools (e.g., Great Expectations, dbt tests).
• ISTQB Advanced Level or equivalent certification.
• Experience with test automation in data environments.

What is the last date for applying to the job?

Which countries are accepted for this remote job?