At a Glance
- Tasks: Design and execute automated data tests in a dynamic, multi-vendor environment.
- Company: Join NTT DATA, a global leader in tech and innovation.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Be part of a diverse team that values equity and inclusion.
- Why this job: Make an impact on cutting-edge data solutions and grow your career.
- Qualifications: Experience in data engineering testing and strong programming skills required.
The predicted salary is between 55000 - 65000 £ per year.
The team you'll be working with
We are seeking highly skilled and experienced QE Test Engineers/ SDETs within a complex, multi‑vendor data migration transformation programme.
This role is for hands‑on quality engineering professionals responsible for the design, implementation, and execution of automated data tests within the enterprise data platform.
The ideal candidate will have a strong background in testing the implementation of data solutions on AWS infrastructure and a variety of core and supplementary technologies.
This role requires a solid understanding of data engineering, cloud services, and the ability to assure quality solutions.
This role operates within an agile delivery team in a Data Factory model and focuses on technical validation of data pipelines, transformations, and analytical outputs to ensure high levels of data quality, accuracy, and reliability for a data migration transformation programme.
Working under the
QE Automation Lead , the QE Test Engineer contributes directly to delivery outcomes by building and maintaining automated tests that validate data across ingestion, processing, and consumption layers.
What you'll be doing
- Automated Data Testing
- Ensure Test data governance and quality control measures are implemented.
- Design, develop, and execute automated data tests in line with functional requirements, non‑functional requirements and acceptance criteria
- Validate data quality dimensions.
- Implement source‑to‑target reconciliation , schema validation, and transformation testing in ETL/ELT environments
- Collaborate with cross‑functional teams in a multi‑vendor environment to understand business requirements and translate them into technical testing solutions
- Test Development & Execution
- Translate data mappings, business rules, and transformation logic into automated test scenarios
- Develop reusable and maintainable test scripts using approved automation frameworks
- Test data feed pipeline migrations repointing from an existing Data Warehouse to a new AWS Data Lakehouse architecture, underpinned with AI ETL accelerators, Python/Py Spark, SQL and YAML configs.
- Test initial bulk then deltas from legacy to new.
- Execute automated test suites as part of sprint‑based delivery and regression cycles
- Defect Identification & Resolution
- Identify, document, and track data‑related defects with clear evidence and analysis
- Work closely with data engineers and analysts to diagnose issues and verify fixes
- Support root‑cause analysis of data quality failures and pipeline issues
- CI/CD & Delivery Support
- Execute automated tests within CI/CD pipelines and scheduled testing runs
- Ensure test assets are version controlled and aligned with delivery processes
- Support release activities by validating data readiness and quality gates
- Documentation & Reporting
- Maintain documentation for test cases, test results, and quality metrics
- Provide clear status updates and reporting on testing progress and outcomes
- Support audit, governance, and compliance requirements related to data quality
- Collaboration & Engagement
- Work closely with the wider scrum team members : Data Engineers, Platform Engineers, Product Owners, Business SMEs and third‑party partners to ensure connected technical testing solutions.
- Understand and review the implemented Unit tests for data processing applications
What experience you'll bring
- Experience in data engineering testing
- BPSS minimum, SC not mandated but strong likelihood may be required
- Deep understanding of AWS data pipelines, Data Warehouse, Data Lakehouse, ETL/ELT processes, data quality concepts, data infrastructure and related testing methodologies.
- Experience of building advanced and feature rich test automation frameworks from scratch using Object‑oriented and scripted languages
- Has breadth of experience across different tech‑stacks. At least two of the following: Java Script/Type Script, Java, C#, or Python, amongst others
- Has a depth of knowledge in the Object‑oriented Programming paradigm (OOP) and has practically applied the principles
- Experience in AWS cloud services, AWS Glue.
- Experience with Python/Py Spark.
- Experience with writing and running SQL queries.
- Experience with YAML configuration.
- Experience with CI/CD GITHUB Actions (or similar)
- Knowledge of AI‑driven testing solutions and automation accelerators to maximize test efficiency and improve overall software quality
- Solid understanding of data feeds architectures and best practices
- Strong problem‑solving skills and ability to think critically
- Experience with test coverage, defect management and reporting tools (e. g. JIRA, XRAY, ADO).
- Great if you have
- Experience with Interface/ API testing.
- Experience with Non‑Functional Testing
- AWS fundamentals (e. g., AWS Certified Data Engineer)
- Experience with HDFS.
Who we are
At NTT DATA, you have endless opportunities to think big, act bold and take ownership.
As a $30+ billion business and technology services, AI and digital infrastructure leader, we co‑innovate solutions with clients and partners globally for business and societal impact.
Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work.
Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D.
Make this the place where you belong, learn, and build your network.
Make this the place where you grow.
what we’ll offer you
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing.
Our Learning and Development team ensure that there are continuous growth and development opportunities for our people.
We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: https://uk. nttdata. com/
We are an equal opportunities employer.
We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices.
We are committed to creating a diverse and inclusive workforce.
We actively collaborate with individuals who have disabilities and long‑term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities.
In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role.
If you require any reasonable adjustments during the recruitment process, please let us know.
Join us in building a truly diverse and empowered team.
#J-18808-Ljbffr
Senior QE Test Engineer – SDET employer: NTT America, Inc.
NTT America, Inc. is an exceptional employer that fosters a dynamic and inclusive work culture in Greater London, where innovation and collaboration thrive. With a strong emphasis on employee growth, the company offers robust training programs and opportunities for advancement, ensuring that sales professionals can excel in their careers while achieving meaningful results. The hybrid working model further enhances work-life balance, making NTT America a rewarding place to build a career in software sales.
StudySmarter Expert Advice🤫
We think this is how you could land Senior QE Test Engineer – SDET
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NTT America, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior QE Test Engineer – SDET at NTT America, Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NTT America, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Senior QE Test Engineer – SDET at NTT America, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior QE Test Engineer – SDET
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NTT America, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT America, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT America, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT America, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
