Technical Assurance Engineer: AI-Driven Legacy Data QA

eTeam Workforce Limited; United Kingdom; Remote; GBP 83,000 - 112,000; Full time

Job summary

eTeam Workforce Limited is seeking a Technical Assurance Engineer for a 6-month assignment in the United Kingdom. You will ensure that the discovery outputs for the DWIT programme are complete, accurate and traceable, enabling migration teams to rebuild legacy feeds as cloud-native equivalents.

You will collaborate with data engineers, architects and SMEs, defining QA standards, overseeing AI-assisted analysis, and guiding assurance across artefacts, mappings, schema definitions and metadata to

Qualifications

• Experience defining and implementing QA strategies in large-scale data migration projects.
• Strong data warehousing and ETL/ELT knowledge.
• Ability to challenge discovery findings for completeness.
• Experience with AI-assisted engineering, analysis or QA.
• Experience with legacy ETL/ELT tooling would be advantageous.

Responsibilities

• Establish quality standards, validation criteria and acceptance thresholds for artefacts.
• Implement QA practices aligned to project strategy.
• Design and oversee QA processes for AI analysis outputs.
• Assure AI tooling and prompt engineering outputs are accurate.
• Validate completeness and traceability of artefacts.
• Identify and manage quality risks and gaps.
• Collaborate with SMEs and data leads to define assurance approaches.
• Oversee quality governance of artefact repositories.
• Lead quality reviews and audits with stakeholders.

Skills

Technical QA strategies

Data migration

Data warehousing concepts

ETL/ELT knowledge

AI-assisted QA

Quality governance

Tools

Informatica PowerCenter

Pentaho Data Integration

SQL

Shell scripting

COBOL

Job description

eTeam Workforce Limited is seeking a Technical Assurance Engineer for a 6-month assignment in the United Kingdom. You will ensure that the discovery outputs for the DWIT programme are complete, accurate and traceable, enabling migration teams to rebuild legacy feeds as cloud-native equivalents.

You will collaborate with data engineers, architects and SMEs, defining QA standards, overseeing AI-assisted analysis, and guiding assurance across artefacts, mappings, schema definitions and metadata to