Data QA Engineer

Arrow Global Group; Manchester; On-site; GBP 45,000 - 65,000; Full time

Job summary

Arrow Global Group in Manchester is seeking a highly skilled QA Engineer to join a newly formed Data-focused team. The role demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions.

You’ll partner with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement.

Qualifications

• Degree in Computer Science, Software Engineering, Information Systems, or related field preferred.
• Proven QA/testing experience with data-intensive applications in cloud-native environments.
• Strong testing methodologies: functional, regression, integration, performance.
• Hands-on test automation experience (Python or similar) and SQL queries for data validation.
• Experience with data warehouses/lakes and pipelines; familiarity with data quality tooling.
• Exposure to Azure services and modern data platforms (Synapse, Snowflake).
• Strong SQL skills for validation and troubleshooting.
• Understanding loan lifecycle data or ability to ramp up quickly.

Responsibilities

• Develop, maintain, and execute test strategies, test plans, and test cases for data pipelines, datasets, and related data products.
• Proactively identify quality risks, testing gaps, and areas for improved QA coverage
• Identify, document, and track defects in Azure DevOps
• Partner closely with Data Engineers to drive timely defect fixes and verify remediation.
• Collaborate with cross-functional stakeholders to strengthen quality processes, documentation, and overall release readiness.
• Provide input into long-term QA strategy and continuous improvement initiatives.
• Perform other duties as assigned

Skills

QA testing

Test automation

SQL data validation

Data pipelines

Data quality concepts

Agile collaboration

Education

Degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Python

Azure DevOps

Azure services

Synapse

Snowflake

SQL

Job description

Description

We are looking for a highly skilled, experienced QA Engineer to play a foundational role in a newly formed Data-focused team. This position demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions. In this role, you’ll partner closely with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement. The ideal candidate brings strength in both manual and automated testing and thrives in a hands-on, collaborative, fast-paced agile environment.

Department: IT & Change

Location: Manchester, UK

Description

We are looking for a highly skilled, experienced QA Engineer to play a foundational role in a newly formed Data-focused team. This position demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions. In this role, you’ll partner closely with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement. The ideal candidate brings strength in both manual and automated testing and thrives in a hands-on, collaborative, fast-paced agile environment.

Key Responsibilities

• Develop, maintain, and execute comprehensive test strategies, test plans, and test cases for data pipelines, datasets, and related data products.
• Proactively identify quality risks, testing gaps, and areas for improved QA coverage
• Identify, document, and track defects in Azure DevOps
• Partner closely with Data Engineers to drive timely defect fixes and verify remediation.
• Collaborate with cross-functional stakeholders to strengthen quality processes, documentation, and overall release readiness.
• Provide input into long-term QA strategy and continuous improvement initiatives.
• Perform other duties as assigned

About You

• Degree in Computer Science, Software Engineering, Information Systems, or a related field is preferable.
• Proven QA/testing experience with data-intensive applications, ideally within cloud-native environments.
• Strong command of testing methodologies (functional, regression, integration, performance) and defect lifecycle management.
• Hands-on experience with test automation (e.g., Python or similar) and writing SQL queries for data validation and reconciliation.
• Experience testing data warehouses/lakes and pipelines; familiarity with data quality concepts and tooling is a plus.
• Exposure to Microsoft Azure services and modern data platforms (e.g., Synapse, Snowflake).
• Strong SQL skills for data validation, reconciliation, and troubleshooting.
• Understanding of loan lifecycle data (servicing, arrears, recoveries, asset resolution) or the ability to ramp up quickly.
• Resourceful, motivated self-starter with the ability to collaborate across business and technology teams