Quality Engineer

End Date

Sunday 06 September 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description Summary

Define the test coverage and scope based on acceptance criteria to undertake robust testing (Automation & Exploratory). The QE is part of a multi skilled feature team, collaborating to ensure quality & customer requirements are met when developing products

Job Description

• Position: Quality Engineer 

  Location: Hyderabad 

  Years of experience:  04– 07 years 

  Job Description: Data Quality Engineer D

• For the Customers:

• Support the Group’s and Protection growth ambitions through brilliant decisions and delivery of industry-leading Insurance and Protection services

• For our People:

• To build the collective capability of our platform community and improve collaboration and cross team learning in order to deliver on our Transformation technology vision by making it a great place to work where our colleagues feel valued, included and empowered to be the best versions of themselves.

  About the Role:

  A Data Testing Engineer validates data accuracy, integrity, and quality across complex pipelines, ensuring ETL processes and data warehouses function correctly. 

• Quality Planning and Strategy: Developing plans and strategies to ensure quality at every stage of production.
• Code Reviews: Analysing code to suggest improvements and ensure it meets quality standards.
• Functional Testing: Conducting manual and automated tests to identify and fix bugs.
• Performance and Security Testing: Ensuring the product performs well under various conditions and is secure from vulnerabilities.
• Continuous Integration: Managing automated tests in CI/CD environments to maintain consistent quality.
• Collaboration: Working closely with developers, operations, and business teams to align quality goals with business objectives 

• Key Responsibilities

• Data Validation & Testing: Design and execute functional, integration, and regression tests for ETL processes, data warehouses, and data ingestion pipelines.
• SQL & Automation: Write complex SQL queries to compare source and target data; develop automated test scripts using Python, Java, or specialized tools.
• Quality Assurance: Ensure data integrity, accuracy, and completeness, including checking for data anomalies and verifying transformation logic.
• Documentation & Reporting: Create test plans, test cases, and documentation for defects, tracking them to resolution in tools like JIRA.
• Collaboration: Work with developers, data engineers, and stakeholders to understand requirements and troubleshoot data issues
• Continuous Improvement: Continuously improving testing processes and methodologies to enhance software quality. 

• Here's where you'll make a difference:

• Your contribution will be instrumental to our strategy of simplifying, modernising, and de-risking the Group technology landscape, ensuring value for customers and shareholders. This is a key role driving the long-term sustainability and integrity of the organisation.
• Our continued commitment to helping Britain recover means that as a colleague you can make a difference to customers, businesses, and communities.
• Together we have a key role to play in shaping the bank of the future, whilst the scale and reach of our Group means you'll continue to have opportunities to learn, grow and develop.
• We're focused on creating a values-led culture, and our approach to inclusion and diversity means that we all have the opportunity to make a real difference, together.
• As part of the Group's commitments as a result of ring-fencing legislation, colleagues based in the Islands are required to be exclusively dedicated to the non-ring-fenced bank and its subsidiaries. This means that colleagues who are based in the Islands would not be able to undertake roles for the Ring-Fenced Bank from their existing location and would need to consider relocation when applying for roles.

• Required Skills:

• 1. Technical Proficiency: Strong SQL skills are essential, along with experience in Python, Java, or JavaScript.
  • Data Warehousing/Big Data: Knowledge of dimensional modeling (star/snowflake schemas) and tools like Spark, Hive, Hadoop, or Azure.
  • Testing Experience: Experience with test automation frameworks (Selenium, PyTest) and manual testing techniques.
  • Background: Bachelor’s degree in Computer Science, IT, or related field.
  • Experience Level: Typically 2–5+ years in QA or ETL testing. 
  • Experience GCP or any cloud technologies.

• Common Tools

• Databases: SQL Server, Oracle, Snowflake, Big Query
• ETL/Big Data: GCP, AWS,Spark, Scala, Java
• Automation/Defect Tracking: JIRA, Selenium, Git, Jenkins