1 to 25 of 78 Validation Jobs in West Yorkshire

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

Develop semantic data layers that support analytics, operational workflows, automation, and machine learning use cases . Establish and enforce strong data quality practices through validation, lineage, monitoring, and governance frameworks. Monitor and optimize pipeline performance for scalability, reliability, cost efficiency, and processing speed . Implement automated testing, CI/ ...

complex datasets into clear, actionable insight to support decision‐making Developing and maintaining dashboards and reports using Power BI Improving data quality through cleansing, validation, and robust processes Automating manual tasks using Power Platform tools such as Power Automate and low‐code solutions Managing and supporting data flows across systems ...

modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power BI reporting and analytics. Putting data quality, validation and reconciliation processes in place so the numbers can be trusted. Monitoring, troubleshooting and keeping the platform fast, reliable and available. Configuring and supporting master ...

data accuracy and business value. Technical Knowledge & Tools : Power BI or similar reporting and visualisation tools. Data warehouses, structured data models and data quality validation; Snowflake experience would be beneficial. Excel for analysis, modelling or data validation. Awareness of data governance, access controls and responsible data handling. Exposure to Python ...

GitHub Enterprise, Terraform, Jira, Confluence) Own and manage the backlog refinement process, ensuring priorities align with business value and technical feasibility Support UAT and validation activities, ensuring delivered solutions meet functional and non-functional requirements Identify opportunities to automate, optimise, and drive continuous improvement across systems and processes. Ensure adherence ...

Practical experience using transformation tools (e.g. Dataform) and version control workflows (Git, Jenkins) to deploy maintainable code. Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity. Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets. Stakeholder ...

with HR, Finance and IT teams to gather and translate business requirements Supporting system configuration, business process design and testing Assisting with data migration, validation and data quality activities Developing and maintaining reports, dashboards and analytics Supporting security, governance and access control processes Working with implementation partners on integrations ...

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 ...

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 ...

practices. Structure work so engineers and agents can deliver effectively together. Increase the proportion of development activity that can be safely automated. Establish automated validation and guardrails for AI-generated changes. Measure AI adoption through improvements in throughput, quality, and engineering capacity. Delivery, Quality & Operations Own end-to-end delivery ...

APIs, web services and reusable integration components. Developing event-driven, message-based, real-time, batch and file-based integrations. Creating data transformation, mapping and validation logic. Designing workflow automation that reduces manual effort and improves operational efficiency. Configuring and maintaining middleware and enterprise integration platforms. Managing API authentication, authorisation, versioning ...

productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...

other agreed contractual or quality improvement requirements Develop searches and reports to identify eligible patient cohorts and monitor progress against agreed priorities Support validation of reported activity where data quality concerns are identified Highlight data gaps inconsistencies and risks that may affect performance reporting or patient identification Provide clear information ...

Engineer With Palantir Foundry Experience. Job Description:- Responsibilities Develop reusable transformations and data models, with clear definitions, identifiers, reporting periods and version information. Implement validation, merge and correction rules, reliable refresh, and safe recovery or reruns after a failure. Integrate approved outputs with reporting and publication services, preserving access controls ...

Infrastructure or Web application penetration testing Cloud security assessments Producing clear, high-quality technical reports Presenting findings and remediation advice to clients Supporting vulnerability validation and re-testing Contributing to internal tooling, research and knowledge sharing What we're looking for Essential Commercial penetration testing experience within a consultancy ...

actionable requirements Produce specifications for IT solutions including UI design, data models, process changes, and interfaces Apply requirements engineering techniques such as elicitation, analysis, validation, documentation, and traceability Use stakeholder interviews, workshops, and surveys to capture accurate requirements Develop AS - IS and TO-BE process models and support gap analysis ...

processes and the SAP Core Model Gather and document business and system requirements Analyse data flows, data quality and migration requirements Support data cleansing, validation, mapping and migration Develop test scenarios and support integration testing and UAT Work with SAP specialists and business stakeholders to resolve defects Produce process documentation ...

functional and system specifications that translate business needs into actionable requirements for application owners and delivery teams. Support configuration analysis, user acceptance planning and validation of delivered changes where appropriate. AI enablement and business process innovation Identify opportunities to apply AI, generative AI, intelligent agents, workflow automation and enterprise data ...

apply the team’s standards for building AI-native systems: state management, observability, non-determinism, and inference cost awareness Engage with testing and validation approaches specific to adaptive systems where behavior is not fully deterministic Contribute to Reusable Foundations Create clean, testable, maintainable solutions that strengthen the team's shared ...

maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs ...

continuously improve organisation-wide standards, frameworks, methods, tools, and best practices for business analysis and requirements management. Lead the scoping, elicitation, analysis, prioritisation, validation, and lifecycle management of requirements for large-scale strategic programmes and initiatives. Ensure business requirements and solutions are aligned to customer needs, regulatory obligations, operational objectives ...

talented global team based in the UK, Canada and USA. Backed by over 30 years of scientific discovery and validation, Cambridge Cognition offers the end-to-end platform for CNS clinical trials. Our technologies are reliable in-clinic or at home for an improved patient experience and accelerated drug development. ...