IT & Software

Senior QE Test Engineer – SDET

NTT DATA

London · Greater London · United Kingdom

Overview

In this role, you will implement and run automated data tests within an enterprise data platform to assure quality across ingestion, processing, and consumption layers during a data migration transformation. You’ll work in an agile Data Factory setup, collaborating with multi-vendor teams to validate data pipelines, transformations, and analytics outputs. You’ll build reusable test automation for data quality, reconciliation, and schema checks, supporting a data lakehouse migration on AWS. This is a hands-on position with a focus on delivering reliable, auditable data results.

Pay / Benefits
  • tailored benefits
  • flexible work options
  • learning and development opportunities
Responsibilities
  • Design, develop and execute automated data tests aligned with functional and non-functional requirements
  • Validate data quality across ingestion, processing and consumption layers
  • Implement source-to-target reconciliation, schema validation and transformation testing in ETL/ELT environments
  • Translate data mappings and business rules into automated test scenarios
  • Develop reusable test scripts using approved automation frameworks
  • Test data migrations from legacy Data Warehouse to new AWS Data Lakehouse architecture
  • Execute automated test suites in sprint-based delivery and regression cycles
  • Document test cases, results, and quality metrics; support audit and governance requirements
  • Collaborate with Data Engineers, Platform Engineers, Product Owners and external partners to align testing solutions
Key requirements
  • Experience in data engineering testing
  • Strong knowledge of AWS data pipelines, Data Warehouse and Data Lakehouse concepts
  • Ability to build automation frameworks from scratch using OOP and scripting languages
  • Experience with Python/PySpark, SQL and YAML configurations
  • Experience with CI/CD (GitHub Actions or similar)
  • Knowledge of AI-driven testing solutions and automation accelerators
  • Experience with test tools (JIRA, XRAY, ADO) for defect management and reporting
  • Strong problem-solving and analytical thinking
  • Cross-functional collaboration in multi-vendor environments
  • Clear evidence-based defect reporting and communication
  • Python/PySpark
  • SQL
  • YAML configurations

Reference: WJ-747_31057413

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