Senior QA Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global financial services institution with a strong presence in the banking sector. They are committed to leveraging cutting-edge technology to drive innovation and maintain excellence in their data-driven operations. The organization fosters a collaborative, high-performance culture that values technical expertise and continuous professional growth.
About the role.
We are seeking a Senior QA Data Engineer to join a dynamic team in London. In this hybrid role, you will design and implement robust test automation solutions for complex data pipelines and BI systems. You will play a critical role in ensuring the quality, reliability, and performance of data-driven applications throughout the software development lifecycle.
What you will do.
- Plan, design, and execute comprehensive testing strategies for new features and system enhancements.
- Develop and maintain automated test cases to ensure thorough coverage across data pipelines.
- Champion test automation best practices to support continuous delivery and scalable solutions.
- Execute functional and non-functional test scenarios to validate system performance and reliability.
- Identify, analyze, and troubleshoot critical defects, performing root cause analysis in collaboration with development teams.
- Produce detailed defect reports to support efficient remediation and quality assurance.
- Communicate testing progress, risks, and quality insights to both technical and non-technical stakeholders.
- Mentor junior QA engineers and conduct code reviews to promote high standards of automation.
What you bring.
- 6–8 years of experience in data quality assurance and test automation.
- Extensive experience validating data pipelines in Azure Data Factory and Azure Databricks.
- Advanced proficiency in Python (PyTest, PySpark, Pandas) or C# for building automated validation frameworks.
- Strong SQL skills for validating complex business rules and data transformations.
- Experience testing BI solutions including Power BI, SAP Business Objects, and Crystal Reports.
- Proven ability to integrate automated tests into CI/CD pipelines using Azure DevOps.
- Experience with traditional ETL tools such as Informatica and SSIS.
- Familiarity with modern data validation tools like Great Expectations and DataDiffPy.
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