Quality Engineer

QA Engineer – Data, DevOps & AI Location: Bengaluru, India Work Arrangement: Hybrid Experience: 3–7 years Business Area: AI & Data Engineering Team: Corporate Data Cloud Data Products Employment Type: Full-time About the Role We are seeking a QA Engineer with strong data-testing and automation capabilities to join the Corporate Data Cloud team. You will assure the quality and reliability of cloud-based data and AI solutions through data validation, test automation, CI/CD integration, and foundational testing of Generative AI and Agentic AI applications. The role requires close collaboration with Data Engineering, Platform, DevOps, Product, and Business teams to embed quality throughout the delivery lifecycle.

About Lseg

• We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios!
• LSEG is a leading global financial markets infrastructure and data provider.
• Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built.
• Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day.
• They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.
• However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business.
• You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth.

Why Join Us?

• This role offers the opportunity to expand beyond traditional QA into cloud data quality engineering, DevOps-enabled automation, and Generative and Agentic AI assurance .
• If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider.
• Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built.
• Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day.
• They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.
• However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• You will be part of a collaborative and creative culture where we encourage new ideas.

Responsibilities

• Design and execute test scenarios and test cases based on business and functional requirements.
• Validate end-to-end ETL/ELT pipelines, data transformations, integrations, and business rules.
• Perform data quality, reconciliation, regression, integration, and large-volume data testing.
• Develop and maintain automated test frameworks using Python, PyTest, Cucumber, or equivalent tools.
• Use advanced SQL and Snowflake to validate data and perform root-cause analysis.
• Integrate automated tests and quality gates into CI/CD pipelines.
• Support Git-based development practices, deployment validation, configuration checks, log analysis, and release verification.
• Test Generative AI solutions for accuracy, relevance, groundedness, consistency, hallucination risk, and guardrail effectiveness.
• Validate Agentic AI workflows, including tool and API interactions, multi-step execution, error handling, retry behaviour, and task completion.
• Create reusable test datasets and automated evaluation checks for data and AI solutions.
• Use AI-assisted approaches to improve test-case generation, automation, defect analysis, and QA efficiency.
• Identify, document, track, and communicate defects, risks, and quality metrics.
• Collaborate with cross-functional teams to improve engineering quality and release outcomes.
• Early identification of data, deployment, and AI-quality issues.
• Effective quality controls covering data accuracy, AI response quality, agent behaviour, and production readiness.
• Strong collaboration across Engineering, Product, Platform, DevOps, and Business teams.

Requirements

• Skills and Experience 3–7 years of experience in Data QA, ETL testing, data quality engineering, or test automation.
• SQL skills, including complex queries, joins, aggregations, window functions, and data reconciliation.
• Hands-on experience with Snowflake and data warehouse or data-platform testing.
• Experience in Python-based test automation using PyTest or a similar framework.
• Working knowledge of CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or equivalent.
• Understanding of Git, branching, pull requests, deployment workflows, logging, and monitoring.
• Familiarity with AWS and/or Azure and modern cloud-based data architectures.
• Basic understanding of Generative AI concepts, including prompts, grounding, hallucinations, non-deterministic outputs, and guardrails.
• Basic understanding of Agentic AI concepts, including agents, tools, APIs, orchestration, and multi-step workflows.
• Experience working in Agile delivery environments using Jira or an equivalent work-management tool.
• Strong analytical, troubleshooting, communication, and collaboration skills.
• Success Looks Like Reliable delivery of high-quality data and AI solutions.
• Increased automated test coverage across data pipelines and CI/CD workflows.

Preferred

• Skills Experience working in Financial Services or another regulated industry.
• Exposure to Infrastructure as Code tools such as Terraform, Bicep, ARM, or CloudFormation.
• Basic knowledge of Docker or other container technologies.
• Exposure to cloud monitoring and observability tools.
• Awareness of AI evaluation frameworks or platforms such as Azure AI Foundry evaluations, RAGAS, DeepEval, or LangSmith.
• Experience with AI-assisted test generation, automation, and defect analysis.

Benefits

• If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!
• We enhance each employee’s potential through personal development through a wide range of learning tools both formal and informal.
• Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• You will contribute to the development of modern enterprise data and AI capabilities within Corporate Data Cloud.
• We're proud to have been recognised as a Great Place to Work® in India ‘25 Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement.
• We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives.
• Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence.
• Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.