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2 qat analyst jobs found in Leeds, West Yorkshire

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Leeds qat analyst West Yorkshire
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Contract Spy
Nov 10, 2026
up to 6 Months
Technical Business Analyst at Netcompany, Leeds/Remote, 3 Months, £Contract Rate
Contract Spy Leeds, UK
Technical Business Analyst- 3 month contract Company Description Netcompany is one of Europe’s leading technology partners, with more than 9,500 colleagues delivering digital solutions for governments, critical industries and businesses across Europe. We take responsibility for the full journey, from strategy and development to daily operations. As Europe’s leader in sovereign AI, we build technology on Europe’s own terms. Job Description Supplier Discovery & Knowledge Transfer Work closely with the incumbent supplier to understand the existing service and how it operates. Identify gaps in our understanding, undocumented processes and key dependencies. Capture and manage the knowledge needed to successfully take ownership of the service. Service & Technical Discovery Build a clear picture of the existing service, including processes, systems, integrations and operational requirements....
Contract Spy
Nov 04, 2026
6 Months or more
Senior Data Engineer at Department for Work & Pensions, Leeds/Remote, 12 Months, £Contract Rate
Contract Spy Hybrid (Leeds, UK)
Core Purpose We are seeking an experienced Senior Data Engineer (Informatica) to support the enhancement and modernisation of DWP 's data integration services. You will work within a legacy Informatica PowerCenter environment, helping to reduce technical debt, improve data quality, enhance existing data pipelines and support the ongoing migration of services to the cloud. You will help ensure business critical data remains accessible, performant and trusted by users across the organisation.   As a Senior Data Engineer (Informatica) your main responsibilities will be to: Build and manage data pipelines using Informatica PowerCenter and SAS Enterprise Guide, including extracting, combining, cleansing and loading data from multiple source systems into target environments. Ensure data quality through validation, standardisation, monitoring and error handling to support reliable data integration processes. Use parameterisation techniques, including...
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