​Job Title: QA Tester-with Python, Pyspark, CosmosDB, Azure

Location: Hybrid, London UK (1days/Week Onsite)

Duration: 6 months+ Contract Inside IR35

Job Overview:

We are seeking a skilled QA Tester with strong experience in Python, PySpark, Azure, and CosmosDB to support data validation and testing activities for a leading banking client. The ideal candidate will have hands-on experience in testing large-scale data pipelines, cloud-based applications, and distributed data systems within a financial services environment.

Key Responsibilities:

• Design, develop, and execute test cases for data pipelines built using Python and PySpark

• Validate large datasets and ensure data accuracy, completeness, and consistency

• Perform backend testing on Azure-based applications and services

• Validate and test data stored in CosmosDB

• Conduct functional, regression, integration, and system testing

• Create automated test scripts using Python

• Identify, log, and track defects using standard defect management tools

• Work closely with Developers, Data Engineers, and Business Analysts

• Ensure compliance with banking data governance and security standards

Required Skills:

• Strong experience in Python for automation and data validation

• Hands-on experience with PySpark and large-scale data processing

• Experience working with Azure Cloud services (Data Factory, Databricks, Azure SQL, etc.)

• Good knowledge of CosmosDB (NoSQL database testing)

• Strong understanding of ETL testing and data validation techniques

• SQL knowledge for backend/database validation

• Experience in Agile/Scrum environment

• Excellent analytical and problem-solving skills

Preferred Skills:

• Experience in Banking or Financial Services domain

• Knowledge of CI/CD pipelines in Azure DevOps

• Exposure to API testing tools (Postman, REST Assured, etc.)

​

If this role is of interest to you, apply now!