301 to 325 of 4,259 Validation Jobs in the UK

Testing Center of Excellence (TCoE) Agile, DevOps, and CI/CD Program and Portfolio Management Data Warehouse and ETL Testing Performance Engineering Cloud Migration Validation Generative AI and Agentic AI Executive Stakeholder Management Business Consulting and Digital Transformation Key Deliverables Enterprise Quality Engineering Roadmaps Testing Transformation Strategies Automation Frameworks ...

similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards ...

data visualisation tools such as Microsoft Power BI. Good knowledge of Microsoft Office applications including Teams, Outlook, Word and PowerPoint. Understanding of data cleansing, validation and reporting techniques. Qualifications and experience required A-Level Mathematics (Grade 4 or above) or equivalent. GCSE English (Grade 4 or above) or equivalent. Demonstrable ...

Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code validation or documentation. Youll have the opportunity to develop that experience as AI becomes more integrated into the wider data and technology environment. Package and working ...

/L and market risk to traders and management.* Coordinate and review deal and price in trading system by performing deal check, price validation, curve update, and data reconciliation. Monitor timely deal capture, internal trading limits, and risk policy requirements to ensure the representativeness and integrity of transactions ...

dimensional modelling (e.g., star schemas). Data Quality & Production Support: Practical experience supporting production data environments, conducting root-cause issue resolution, and enforcing data validation and integrity controls. Collaborative & Solution-Focused: Proven ability to translate business requirements into scalable data solutions and communicate effectively across technical and non-technical stakeholders. ...

dimensional modelling (e.g., star schemas). Data Quality & Production Support: Practical experience supporting production data environments, conducting root-cause issue resolution, and enforcing data validation and integrity controls. Collaborative & Solution-Focused: Proven ability to translate business requirements into scalable data solutions and communicate effectively across technical and non-technical stakeholders. ...

scalable integration solutions. You will lead technical aspects of data projects including: mapping data between different systems, creating and optimising ETL processes, implementing data validation rules, and developing custom integration solutions when needed. Additionally, you will establish best practices for data quality and maintain documentation for all integration processes. Technical ...

cutover planning and execution from a data perspective, ensuring predictable outcomes through disciplined planning, reconciliation, and alignment with business timelines. Define and oversee reconciliation, validation, and audit processes to ensure data completeness, accuracy, and integrity across all systems in scope. Facilitate data design and migration workshops with business stakeholders, translating ...

deliver successful outcomes. Manage application-related incidents, service requests, and enhancement activities from initiation through to resolution. Support testing, user acceptance testing (UAT), release validation, and change management activities. Develop user guides, knowledge articles, training materials, and adoption resources. Identify recurring issues, recommend process improvements, and champion continuous improvement initiatives. ...

requirements. Your responsibilities will include: Application administration, configuration and optimisation. End-to-end testing, system assurance and quality improvement. Supporting data migration, integration and validation activities. Managing supplier relationships and providing technical liaison. Supporting digital transformation and business improvement projects. Identifying opportunities to simplify processes, reduce risk and improve services. ...

wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity to develop ...

reconciliation outputs and operational controls. Investigate payroll calculation issues, interface failures and data discrepancies, identifying root causes and implementing fixes. Support data migration, transformation, validation and reconciliation. Undertake unit and system integration testing and support user acceptance testing, regression testing and parallel payroll runs. Assess the impact of Oracle updates ...

testing web applications, APIs, and integrated systems.· Experience writing and executing SQL queries, with the ability to understand database structures and interrogate data for validation and analysis**Desirable Skills & Experience:**· ISTQB certification or equivalent.· Experience testing within an Intelligent Transport Systems environment.· Experience implementing test automation within CI/ ...

scalable. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain. Acts as a function-wide subject matter ...

solutions meet defined product requirements, performance standards and business objectives. Support the successful commercialisation of machine learning technologies by contributing to product integration, verification, validation and deployment activities. Work with clinical research partners and healthcare stakeholders to evaluate the clinical effectiveness and diagnostic performance of machine learning models and analytical ...

equivalent analytical tools Experience improving modelling environments through automation, standardisation or modern engineering practices A sound understanding of model governance, documentation, monitoring and independent validation in a regulated environment The ability to translate complex analysis into practical strategies and clear commercial recommendations Leadership experience, including developing, coaching or mentoring analytical ...

track record of delivering across multiple concurrent projects or clients Familiarity with Azure data services and modern data platform components Experience with data validation and testing techniques Experience working with Data Vault and Kimball modelling approaches Programming or scripting experience would be an advantage You’ll thrive here if you... ...

equivalent analytical tools Experience improving modelling environments through automation, standardisation or modern engineering practices A sound understanding of model governance, documentation, monitoring and independent validation in a regulated environment The ability to translate complex analysis into practical strategies and clear commercial recommendations Leadership experience, including developing, coaching or mentoring analytical ...

recruitment, performance, diversity and talent management.Support manpower planning and workforce reporting activities.Data Integrity & GovernanceEnsure data quality across all International entities.Conduct regular audits and data validation exercises.Support GDPR and data privacy requirements.Maintain robust system governance and controls.Project Management & Change ManagementSupport Workday rollouts, upgrades and new module implementations.Lead user acceptance testing ...

first-class part of your workflow rather than a novelty. Responsibilities Author, run, and maintain test plans across all phases of client deployments — schema validation, referential integrity, row volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes ...

maps, opportunity statements, user stories, acceptance criteria, business cases, workflow documentation, prompt guidance, playbooks or adoption materials. Working in an environment where governance, testing, validation, risk assessment, compliance or quality review are important. Supporting change with business users, including adoption planning, guidance, feedback gathering and continuous improvement. Essential skills Strong ...

Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles, standards ...

Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles, standards ...

critical data solutions. Partner with Data Scientists, Analysts and business stakeholders to translate business requirements into robust technical solutions. Drive data quality by implementing validation, monitoring and governance best practice. Optimise the performance of databases, data warehouses and data lakes to support growing business demands. Evaluate and implement modern data ...