301 to 325 of 3,710 Validation Jobs in England

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 ...

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 ...

business transactions and operational workflows. Develop and enhance service interfaces that facilitate seamless integration between enterprise applications and business domains. Ensure efficient ingestion, transformation, validation, and routing of data across connected systems. Implement robust messaging and event-processing patterns that improve reliability, observability, and business responsiveness. Design data models ...

Alternatives, and related asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion ...

effectiveness of business function RCSAs and associated control environments. Track assurance actions through to satisfactory completion. Contribute to deep-dive reviews and independent validation activities as agreed by the Chief Risk Officer. About you - and the value you’ll bring to our team Strong analytical and problem-solving skills. Advanced ...

days’ volunteering leave per year. Your key responsibilities Lead and contribute to designing and optimizing data workflows using SQL and Python for acquisition, validation, ETL, and reporting, as well as building scalable pipelines that feed dashboards and regulatory management information. Develop and evolve reporting and analytics to monitor model performance ...

keep the Employee Experience Map - a data-driven, interactive product - accurate, complete, timely, and ready for use. You will coordinate data sourcing, transformation, mapping, validation, testing, and release readiness, while building the controls, documentation, and service-management practices needed to operate the product sustainably at scale. Your work will directly ...

large datasets with advanced knowledge of: Pivot Tables and Pivot Charts, Power Query, XLOOKUP and advanced lookup functions, Complex formulas and modelling techniques, Data validation and transformation, VBA/Macros (desirable) Ability to analyse datasets and synthesise insights from workshops, interviews and process observations. Strong communication skills, with the ability ...

qualification (APM, Prince2, PMI). Quality or Safety Management certification. Essential skills Strong understanding of engineering lifecycle processes including systems engineering, design, development, verification, validation, deployment, and support. Excellent stakeholder management and communication skills. Strong analytical and problem‐solving capability. Desired skills Knowledge of: ISO 10007 – Quality Management – Configuration Management ...

transformation.Partner with Finance, Operations, IT, and external implementation teams to optimize budgeting, forecasting, planning, and reporting processes.Support ERP migration activities, including data mapping, validation, user acceptance testing (UAT), end-user training, and post-implementation support.Manage the annual Global Cross-Charge process, including quarterly recalculations and reporting in accordance with transfer ...

outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g., Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Location & Hours of Work We operate a hybrid working policy of 40%–60% of the month spent with colleagues. We look forward ...

integrations with operational and enterprise systems, ensuring reliable data flows and system interoperability across complex environments. Run technical discovery and proof-of-concept validation for new capabilities, scoping feasibility and defining delivery roadmaps with cross-functional stakeholders. Coach and develop internal technical capability, setting engineering standards and building a culture ...

capabilities into the site, including retrieval, product discovery, conversational experiences, and supporting data pipelines or service layers Quality, Testing & Debugging: Build automated testing and validation into development workflows. Use AI‐assisted debugging where appropriate while maintaining strong standards for code review, observability, performance, regression prevention, and production reliability Modular Architecture ...

production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark ...

strong, collaborative and highly productive team.* Excellent working knowledge of AI-enabled software engineering, including AI tooling, context management, prompting, agentic workflows, appropriate human validation, and common limitations* Excellent working knowledge of one of C#, Dart, or TypeScript, paired with one of .Net, Flutter, React, or Node.js* Strong grounding ...

strategic technical builds. What you’ll do Own requirements end-to-end across the PDLC — leading discovery, elaboration, backlog grooming, UAT, and post-launch validation for complex, high-impact initiatives, ensuring traceability from business objective to delivered feature. Drive AI/ML use case definition — partnering with data scientists ...

interest in building reusable data assets rather than one‐off analysis. Proficiency with AI agents and analytical assistants, with a disciplined approach to validation, data confidentiality and explaining how conclusions were reached. Desirable Skills and Experience Exposure to Microsoft Fabric or Databricks through coursework, projects, internships or early‐career work ...

complex issues, coordinating with stakeholders, and ensuring system availability, performance, and service excellence Oversee integrations, data management, and system lifecycle activities, including data migration, validation, reconciliation, platform upgrades, releases, enhancements, and continuous optimisation Collaborate with business stakeholders, vendors, and third-party partners to define requirements, implement solutions, manage platform roadmaps ...

cloud data platforms such as Snowflake. Strong analytical and problem-solving skills, with a great eye for detail. An understanding of data quality, validation and governance. Strong Excel capability. Experience delivering analytics within Customer, Marketing, CRM, Loyalty or another commercially focused environment. Examples of using data and insight to influence ...

initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments ...

legacy systems: validate data quality, define transformation rules, oversee cutover planning Use modern AI tools to accelerate delivery: automate documentation, generate project artifacts, build validation scripts, enhance productivity Cross‐Functional Collaboration & Influence Partner with Sales during presales phase to shape deal strategy, validate scoping accuracy, and ensure smooth handoff from ...

test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications. Support techniques that improve reliability and user trust, such as output validation, citation or source‐grounding patterns, fallback handling, confidence thresholds, and escalation workflows. Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production ...

data engineering environment Experience building, maintaining, or optimizing data pipelines and data processes Experience working with AWS data engineering technologies Understanding of data quality, validation, and governance practices Strong analytical and problem‐solving skills Excellent attention to detail Ability to communicate complex technical concepts clearly and confidently Experience working with ...

problems and answering queries. Mentor other development staff members and provide technical assistance as needed. Participate in architecture and code reviews. Support testing and validation activities within data related projects and initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with ...