End Date

Sunday 06 September 2026We Support Adaptable Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working 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

- Position: Quality Engineer

Location: Hyderabad

Years of experience: 04– 07 years

: 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

📌 Quality Engineer (Hyderabad)
🏢 Lloyds Banking Group
📍 Hyderabad