Data QA Engineer: Pipelines & Azure Data Quality

James Adams; Greater Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

James Adams Group is partnering with a well-established financial services organisation to hire a QA Engineer (Data). This foundational role sits in a newly formed Data team, offering the chance to shape testing culture from day one.

You'll work with Data Engineers, Data Analysts and business stakeholders to ensure data accuracy and reliability across pipelines, lakes and warehouses, using Azure and modern data platforms.

Qualifications

• Proven QA experience testing data-intensive applications, ideally in cloud-native environments.
• Strong SQL for validation, reconciliation and troubleshooting.
• Hands-on test automation experience, with Python or similar.
• Solid grasp of testing methodologies (functional, regression, integration, performance) and the defect lifecycle.
• Experience testing data warehouses, lakes and pipelines.
• Exposure to Azure and modern data platforms such as Synapse or Snowflake.
• Self-starter mindset and ability to work with business and tech teams.

Responsibilities

• Building and running test strategies, plans and cases for data pipelines, datasets and data products.
• Spotting quality risks and coverage gaps before they become problems.
• Logging and tracking defects in Azure DevOps, and working with engineers to get them fixed and verified.
• Improving quality processes, documentation and release readiness across teams.
• Contributing to the long-term QA strategy.

Skills

SQL data validation

Python test automation

QA methodologies

Data pipelines testing

Azure data platforms

Data warehouses testing

Self-starter

Education

Bachelor's degree in CS/SE or related

Job description

James Adams Group is partnering with a well-established financial services organisation to hire a QA Engineer (Data). This foundational role sits in a newly formed Data team, offering the chance to shape testing culture from day one.

You'll work with Data Engineers, Data Analysts and business stakeholders to ensure data accuracy and reliability across pipelines, lakes and warehouses, using Azure and modern data platforms.