Quality Engineer

Informa is a leading academic publishing, business intelligence, knowledge and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.

Taylor & Francis is one of the world’s largest publishers of high-quality, peer reviewed scholarly journals, books, e-books and reference works. We empower learners, thinkers and doers with trusted knowledge that advances research and enriches lives. We bring together diverse people, ideas and opinions to validate and publish the experts, theories and truths that matter. And we’ve been doing this in an unbroken arc since 1798.

Our purpose is to foster human progress through knowledge. We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that’s the only way to find the best obtainable version of the truth and, ultimately, foster human progress. If you agree, then we’d love to hear from you.

We are looking for a highly motivated Senior Quality Engineer with strong expertise in automation and modern Quality Engineering practices. The ideal candidate will have hands-on experience on  creating automated data validation scripts to test ETL data pipelines and report bugs or glitches. This position requires hands-on experience in ETL Testing and Automated Test Development.  You will also be responsible for UI, API, backend, and performance testing, with a passion for engineering scalable automation solutions, driving quality throughout the SDLC, and leveraging AI-powered tools to improve software quality and delivery. 

Key Responsibilities:

• Design and manage the data quality framework across production data pipelines.
• Build reusable data quality checks using tools such as Great Expectations or equivalent frameworks.
• Working with large and complex data sets (SQL and No-SQL), data lakes (S3) and data warehouses (Redshift). 
• Test Automation - Build automated data validation scripts to test the quality of data in data lake (S3) and data warehouses (Redshift). 
• Define checks for schema, null values, uniqueness, referential integrity, data volume, freshness, late-arriving data, and business rules. 
• Integrate data quality checks at ingestion, transformation, and pre-publish stages.
• Participate in requirements analysis, test strategy, test planning, risk assessment, test estimation, and release validation activities.
• Validate REST APIs, backend services, databases, and microservices through automated and manual testing.
• Perform performance and load testing using JMeter or BlazeMeter, analyse bottlenecks, and provide recommendations for performance improvements.
• Integrate automation suites into CI/CD pipelines using GitHub Actions, ensuring quality gates, automated reporting, and continuous feedback.
• Collaborate closely with Product Managers, Developers, DevOps, Business Analysts, and other stakeholders to ensure high-quality software delivery.
• Perform defect analysis, root cause analysis (RCA), and support production issue investigations.
• Leverage AI-powered engineering tools (such as Claude Code) to accelerate test design, automation development, defect analysis, and framework maintenance.
• Continuously improve automation coverage, framework stability, execution efficiency, and engineering best practices.
• Mentor junior Quality Engineers through technical guidance, code reviews, and knowledge sharing.

Required Experience:

• 3–4 years of experience in Quality Engineering, with strong expertise in Data Engineering, Data Quality, or Data Reliability Engineering.
• Hands-on experience with data quality frameworks such as Great Expectations, Soda, dbt Tests, Deequ, or equivalent tools.
• Strong SQL skills, including window functions, complex joins, and queries on large partitioned datasets.
• Minimum 2 year of hands-on coding experience in Python.
• Minimum 2 years of experience in ETL testing of Data Pipelines and Data Warehouse.
• Experience with cloud data lake technologies, including S3, Glue, Athena, Spark on EMR, and Apache Iceberg.
• Experience in API automation (REST APIs, Postman, API testing frameworks).
• Experience integrating automated testing into CI/CD pipelines using GitHub Actions.
• Strong understanding of SDLC, STLC, Agile/Scrum, and modern Quality Engineering practices.
• Experience with Git and collaborative development workflows.
• Strong understanding of functional, integration, regression, system, and end-to-end testing.
• Experience with test strategy, risk-based testing, test planning, and quality metrics.
• Experience in defect management, root cause analysis, and release quality validation.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication, collaboration, and stakeholder management skills.
• Experience using AI-assisted testing tools to improve test design, automation development, execution, and maintenance (Claude Code preferred).

Preferred Skills

• Mastery of specialized data quality tools (e.g., Great Expectations, Informatica DQ).
• Proficiency with cloud platforms and data warehouses (e.g., Databricks, Snowflake).
• Knowledge of global data privacy regulations (e.g., GDPR, CCPA) and best practices for data governance.
• Experience testing microservices-based and distributed architectures.
• Experience with monitoring and observability tools.
• Experience working on enterprise SaaS or publishing/content management platforms.

Nice to Have

• ISTQB Certification.
• Data Quality tool certified eg Informatica, Right Data etc
• AWS or Azure Fundamentals Certification.
• Familiarity with A/B testing frameworks and the nuances of experimentation
• Experience with AI-driven Quality Engineering practices.

What We're Looking For

• Strong ownership mindset with a quality-first approach.
• Strong ownership of data quality and reliability. 
• Ability to identify and resolve the root cause of data quality issues.
• Good judgement on when a quality check should block, quarantine, or generate an alert.
• Ability to identify risks early and drive preventive quality practices.
• Quick learner with enthusiasm for adopting emerging technologies and AI-powered engineering solutions.
• Ability to mentor and coach team members while fostering a culture of quality.
• Strong collaboration skills with cross-functional teams and business stakeholders.
• Self-driven, proactive, and capable of working in a fast-paced Agile environment.
• Excellent communication, leadership, and stakeholder management skills.

You must have the right to work and live in India.

Location: The successful candidate will be able to utilise our balanced working model. We ask that candidates live within a commutable distance of our Bengaluru office to ensure that as a balanced worker they can make it to our office location to collaborate as required. There is an expectation for a minimum of 3 days per week in-person time.

We believe that great things happen when people connect face-to-face. That's why we work in-person with each other, or with customers and partners, three days a week or more. When you’re not spending time together in one of our offices or other workplaces – like at conference – you get the flexibility and support to work from home or remotely.

What we offer in return: 

• A competitive salary + bonus
• 24 days annual leave
• 4 volunteering days annually
• Day off for your birthday
• Pension contributions
• Medical insurance for self and dependants; life cover and personal accident cover for self
• Seasonal social and charitable events
• Training and development
• Tools and equipment for remote working

We want all our candidates to shine in our recruitment process. Please let us know if there is anything we can do to ensure you are able to show us your best self. This could include having the application form in a different format, more time for questions, or anything else – please ask us, we are happy to be flexible! Please contact [email protected]  

Being Yourself at Taylor & Francis: 

If you’re excited about working with Taylor & Francis to foster human progress through knowledge, we invite you to apply even if your existing skills and experience don’t fit every item listed above. At Taylor & Francis, we are at our best and most successful when colleagues can be themselves and make a contribution regardless of their identity or background. As a colleague, you will have the opportunity to further innovate and develop in areas that you are passionate about. Our goal is to empower you with the resources, incentives, and flexibility you need to enjoy success at work and to live a healthy, balanced life. 

Taylor & Francis is proud to be an Equal Opportunity Employer. We believe in and value diversity of people and thought, fostering a supportive and inclusive environment where all colleagues can learn and succeed as their true selves. Taylor & Francis recruits, develops, and retains colleagues without regard to any protected personal characteristics or other non-merit based factor. 

If you have a disability, or face another barrier, and would like to request an adjustment to assist your participation in the hiring process and/or in the advertised position, please contact [email protected]. Your request will be reviewed and considered in the strictest confidence.

We genuinely care about our colleagues, promoting work-life balance, wellbeing, and flexible working. We believe that the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas which you are passionate about. To find out more about our business and the great career opportunities please go to our Careers Site: http://www.taylorandfrancisgroup.com/careers 

Or better yet check out our LinkedIn ‘Life’ Page, highlighting our accomplishments, employees, and company culture. It’s also a good way of meeting our recruitment team, who will be happy to advise you on your journey here at T&F.