The company is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. As a QA Engineer, you will own how we prove our platforms work end to end – from the pipelines that move and transform data to the API layers that expose it. This is a verification role: you will build the confidence that our data pipelines are correct and functioning as intended. You will think critically about how data flows from source to insight, ensuring every transformation and every endpoint maintains the integrity required for high-stakes financial services environments.
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Responsibilities
- Designing, building, and owning automated test suites – functional, integration, and end-to-end – embedded into CI so quality gates run continuously.
- Testing the platform's API layer through contract testing, schema validation, and end-to-end checks against externally-consumed and partner-facing data APIs.
- Performing rigorous source-to-target reconciliation and checksums to ensure no "silent failures" occur during complex AWS Glue or Data Factory transformations.
- Extending and running Soda Core checks across Bronze, Silver, and Gold layers, and verifying that quality gates fire correctly as part of your automated suites.
- Monitoring automated alerts, performing initial root-cause analysis on data drift or schema failures, and collaborating with squads to implement permanent countermeasures.
- Working alongside Data Engineering squads to embed automated validation into live data flows.
Requirements
What we need from you:
- 2–4 years of experience in QA/test automation, ideally on data-intensive or backend platforms.
- Strong proficiency in SQL and Python for test automation, data validation, and scripting.
- Practical experience with API and contract testing (e.g. REST, schema/contract validation).
- Hands-on experience designing and maintaining automated test frameworks and CI-embedded suites.
- Practical understanding of Lakehouse architectures and the Medallion (Bronze/Silver/Gold) design pattern.
- Hands-on experience with AWS services (specifically S3, Glue, and Athena) or similar cloud data stacks.
- A degree in Computer Science, Data Science, Information Systems, or a related field.
- The ability to look beyond a failed check to understand the root cause and its broader business impact.
- An uncompromising eye for accuracy, ensuring referential integrity, reconciliation, and checksums are perfectly aligned.
- Comfortable working in fast-paced environments using Jira and participating actively in Scrum ceremonies.
- The ability to communicate technical issues clearly and constructively, fostering a culture of quality within the engineering team.
Benefits
The benefits you'll enjoy as part of this role include:
- Competitive salary
- Comprehensive personal health insurance
- Visa Sponsorship for the successful individual
- Professional development and certification support
- Subscription reimbursement relating to your role
- Opportunity to work on cutting-edge AI projects
- Monthly Employee Incentive program
- Career advancement opportunities in a rapidly growing AI company
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation in Dubai, United Arab Emirates.
