Data QA Engineer

Pioneer Quality for Our Data & AI Platform (Azure & Databricks)

Are you a test engineer who specializes in data?

We're looking for a Senior Data QA Engineer to own the quality and reliability of our large-scale data pipelines in Azure.

In this role, you won't just find bugs, you'll build the automated frameworks to prevent them, ensuring the integrity of our core data hubs.

The Role in a Nutshell:

• Build & Automate: Design and develop robust test frameworks for our data processing and ETL workflows using Python, PySpark, and SQL.
• Validate & Secure: Conduct performance, regression, and data quality testing across our Azure (Databricks, Data Factory) ecosystem.
• Integrate & Improve: Embed testing directly into our CI/CD pipelines (Azure DevOps) and champion best practices for Data & AI.

We're Looking For:

• Proven expertise in Python, PySpark, SQL and test automation.
• Hands-on experience testing big data pipelines in Azure (Databricks, Data Factory).
• Practical knowledge of CI/CD and a strong understanding of data quality frameworks.
• Experience in Agile environments.

Make Your Impact. Apply Now.

For a confidential discussion, please contact Elliot or apply with your CV to [email protected]