Data QA Engineer

We’re looking for a Data QA Engineer to join our data engineering team, with a focus on ensuring data accuracy, integrity, and reliability across Snowflake and AWS-based data platforms.

You’ll work across cloud data lakes, pipelines, and platform components, validating transformations, verifying data flows, and contributing to automation frameworks. While this is a data-focused role, experience with automation tools like Playwright and scripting in Python will be valuable in driving quality across both data pipelines and the user-facing layers of data platforms.

Key Responsibilities

• Design and execute test cases to validate data pipelines and transformations in Snowflake and AWS Data Lake environments
• Perform data validation, reconciliation, and integrity checks using SQL and custom scripts
• Test Python-based ETL/ELT pipelines, ensuring accuracy, error handling, and performance
• Implement and maintain automated testing frameworks, with a focus on Playwright for UI components (e.g., dashboards, data interfaces)
• Collaborate with data engineers and platform teams to test infrastructure setup, configuration, and access control
• Log and triage defects, and support teams through resolution and release
• Contribute to QA strategies and test plans across the broader data and platform teams
  
  

What You Bring

• Proven experience in data-focused QA roles, ideally working with cloud-based data ecosystems
• Strong SQL skills for data analysis and validation across large datasets
• Experience testing pipelines and scripting with Python
• Familiarity with Snowflake, AWS Data Lake services (S3, Glue, Athena), or similar platforms
• Working knowledge of test automation, including experience with Playwright or similar frameworks (e.g. Cypress, Selenium)
• Solid understanding of both backend data workflows and front-end interfaces used to access and visualise data
• Excellent attention to detail and a methodical approach to problem-solving
  
  

Nice to Have

• Familiarity with data orchestration tools like Airflow or dbt
• Experience with CI/CD pipelines in a data engineering or QA context
• Exposure to data governance, observability, or compliance requirements
• Experience testing data APIs, dashboards, or analytics platforms

What We Care About:

• Comprehensive Health Insurance – prioritizing your well-being.
• Flexible working hours along with a generous holiday policy.
• Profit-sharing opportunities available for all team members.
• Annual company retreats, sports activities, and interest groups to encourage team bonding and enjoyment!
• Training & Conferences – design your own personal development journey.
• Childcare support through vouchers to assist families.
• Most importantly, you will be part of a collaborative, politics-free team where everyone enjoys ownership and autonomy

Compensation

• The maximum monthly gross salary for this position is 70 million VND. Final offers will be based on experience and alignment with the role's requirements.

We take pride in nurturing an inclusive, streamlined, and self-managed work environment that promotes freedom, accountability, and ongoing feedback.

About Mindera:

At Mindera, we leverage technology to build products we take pride in, alongside a team we genuinely enjoy working with. Our expertise includes developing high-performance, resilient, and scalable software systems for renowned global brands. Our work culture is rooted in collaboration, innovation, and a commitment to continuous learning.

With offices located across Portugal, the UK, the USA, Australia, India, Romania, and Brazil, join us as we expand and influence the future of software engineering worldwide.