At a Glance
- Tasks: Design and execute automated data tests for a cutting-edge data migration programme.
- Company: Join NTT DATA, a global leader in tech innovation and diversity.
- Benefits: Flexible work options, tailored benefits, and learning opportunities for personal growth.
- Other info: Be part of a diverse team with a commitment to equity and inclusion.
- Why this job: Make an impact on data quality in a dynamic, multi-vendor environment.
- Qualifications: Experience in data engineering testing and proficiency in multiple programming languages.
The predicted salary is between 60000 - 80000 £ per year.
Overview
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.
Responsibilities
- 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 translate business requirements into technical testing solutions.
- 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, with AI ETL accelerators, Python/Py Spark, SQL and YAML configurations; test initial bulk and subsequent deltas from legacy to new.
- Execute automated test suites as part of sprint-based delivery and regression cycles.
- CI/CD & Delivery: Run 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 on testing progress and outcomes; support audit, governance, and compliance related to data quality.
- Collaboration & Engagement: Work with Data Engineers, Platform Engineers, Product Owners, Business SMEs, and third-party partners to ensure connected technical testing solutions; review implemented Unit tests for data processing applications.
Qualifications
- Experience in data engineering testing; strong knowledge of AWS data pipelines, Data Warehouse, Data Lakehouse, ETL/ELT processes, data quality concepts, and related testing methodologies.
- Experience building advanced test automation frameworks from scratch using object-oriented and scripted languages; breadth across different tech stacks.
- Proficiency in Java Script/Type Script, Java, C#, Python (two or more); strong understanding of object-oriented programming.
- Experience in AWS cloud services (AWS Glue), Python/Py Spark, SQL, YAML configurations, and CI/CD tools (Git Hub Actions or similar).
- Knowledge of AI-driven testing solutions and automation accelerators; solid understanding of data feeds architectures and best practices.
- Strong problem-solving, data quality, defect management, and reporting skills (e. g., JIRA, XRAY, ADO); API/interface testing is a plus.
- Non-functional testing experience and AWS fundamentals; AWS Certified Data Engineer is a plus; familiarity with HDFS.
- Understanding of data governance and data security considerations; ability to work in a multi-vendor environment.
Benefits and Inclusion
- We offer tailored benefits supporting physical, emotional, and financial wellbeing; Learning and Development opportunities; and flexible work options.
- We are an equal opportunities employer and are committed to promoting equity and diversity; we actively collaborate with individuals who have disabilities and long-term health conditions to remove barriers to employment.
We guarantee an interview to applicants who declare a disability and meet the minimum requirements, and we will provide reasonable adjustments during the recruitment process on request.
About NTT DATA
At NTT DATA, you have opportunities to think big, act bold and take ownership.
We serve 75% of the Fortune Global 100 and operate in over 70 countries.
We are proud to be a Global Top Employer, part of NTT Group, investing heavily in R&D.
We emphasize a diverse and inclusive culture and value teamwork and foresight.
Location and Contact
Joining details: This is a UK-based role with opportunities for flexible work arrangements where applicable.
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