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 AWS-based Lakehouse architectures. You work closely with architects, engineers and analysts to deliver scalable migration solutions, ensuring data quality, integrity and performance. You will leverage ETL/ELT tooling and cloud data platforms to support secure, compliant migrations and continuous improvement of pipelines. This is a hands-on, delivery‑focused position in a collaborative Data & AI practice with a strong emphasis on testing and validation.

Pay / Benefits
  • Tailored benefits
  • Learning and development opportunities
  • Flexible work options
  • Equal opportunities employer
  • Disability Confident Committed Employer
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 pipeline repointing to cloud environments
  • Test ETL/ELT pipelines on AWS services (AWS Glue, Apache Iceberg) and validate migrations to Data Lakehouse architectures
  • Execute and validate initial bulk loads and incremental data processing
  • Write and run SQL queries to verify data completeness, accuracy and transformation outputs
  • Support development of test scripts and validation checks
  • Work with AWS services (Glue, S3) and Iceberg to improve pipeline performance and reliability
  • Apply transformation logic based on data mapping rules and prepare data for target-state models
  • Collaborate with Solution Architects, Data Engineers, Migration Architects, Analysts and QA teams
  • Follow established engineering standards and contribute to documentation and reusable components
  • Support data quality, governance and security during migration and assist with compliance activities
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 cloud services, especially AWS Glue
  • Python / PySpark
  • SQL querying and validation
  • YAML configuration (desirable)
  • Experience testing or supporting ETL/ELT pipelines and data migration processes
  • Familiarity with data lake / Lakehouse concepts (Apache Iceberg)
  • Distributed processing frameworks (Spark)
  • Basic understanding of ETL vs ELT approaches and cloud-based data architectures
  • Exposure to version control and CI/CD tools (desirable)
  • Collaboration
  • Problem-solving
  • Communication
  • AWS Glue
  • Python / PySpark
  • SQL

Reference: WJ-747_30159177

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