IT & Software

Data Migration Engineer

NTT DATA

London · Greater London · United Kingdom

Overview

In this role you will design, build and validate data migration pipelines to move data from legacy systems to modern AWS-based data lakehouse platforms. You will work with cross-functional teams to ensure data quality, integrity, and performance while leveraging AWS Glue, Python/PySpark, and Iceberg. You’ll focus on delivering scalable migration solutions and robust validation in a collaborative, delivery-focused environment. This is an opportunity to advance cloud data engineering practices within a global consultancy.

Pay / Benefits
  • tailored benefits
  • continuous learning and development
  • flexible work options
Responsibilities
  • Support delivery within data migration programmes and key workstreams
  • Collaborate with architects, engineers, and stakeholders to implement migration solutions
  • Plan and execute data migration tasks and deliverables
  • Build and maintain data migration pipelines from legacy warehouses to AWS platforms
  • Develop ETL/ELT pipelines using AWS Glue, Python/PySpark, SQL, YAML configurations
  • Support bulk and incremental data migrations and cloud migration repointing
  • Test ETL/ELT pipelines on AWS services (Glue, Iceberg) and validate migrations
  • Validate data quality, completeness and transformation outputs in Data Lakehouse architectures
  • Contribute to improving pipeline performance and reliability in AWS Data Platforms
  • Apply data transformation rules and prepare data for target-state models
  • Collaborate with Solution Architects, Data Engineers, Analysts and QA teams
  • Follow engineering standards and contribute to documentation and reusable components
  • Support data quality, governance and security, including GDPR and public sector standards
Key requirements
  • Experience in data engineering or data migration delivery
  • Strong focus on testing, validation, and data quality assurance
  • Ability to work across data pipelines and transformation workflows
  • Good analytical and problem-solving skills
  • Effective communication and teamwork skills
  • Willingness to learn and develop in data migration and cloud technologies
  • Hands-on experience with AWS (especially AWS Glue)
  • Python / PySpark programming
  • SQL querying and validation
  • YAML configuration (desirable)
  • Familiarity with Data lake / Lakehouse concepts (Apache Iceberg)
  • Experience with Spark and distributed processing frameworks
  • Understanding of ETL vs ELT approaches
  • Exposure to version control and CI/CD tools (desirable)
  • collaborative
  • delivery-focused
  • problem-solving
  • AWS Glue
  • Python
  • PySpark

Reference: WJ-747_30231763

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