226 to 250 of 4,766 Validation Jobs in the UK

across all HR systems. Establish and maintain robust data governance standards, policies and controls. Monitor data accuracy, completeness and consistency through regular audits and validation activities. Ensure compliance with GDPR, data privacy requirements and company information security standards. Develop processes for data retention, archiving, access management and audit readiness. Produce ...

help build. Key Responsibilities Design, write, and execute unit and integration tests using frameworks such as pytest , unittest , Playwright . Support test data preparation , validation scripts, and backend service testing. Assist in automating CI/CD pipelines on Azure , improving build and deployment reliability. Collaborate with Software ...

releases, assessing reporting impacts and recommending improvements. Advise clients on reporting strategy, governance, report rationalisation, automation, and self-service reporting capabilities. Support data extraction, validation, reporting security, tenant migrations, and reporting-related configuration activities. Mentor consultants and analysts, providing coaching, quality reviews, and functional leadership. Contribute to internal assets, accelerators ...

capture business and product requirements Strong analytical and writing skills, to include solid experience in writing functional and technical specifications/user stories Validation and testing in collaboration with Dev/QA/Operations Understanding of Data Vendor/Data Source Hierarchy for Golden Copy Experience/understanding of business ...

Insight Analyst with extensive experience in data analysis and business intelligence. Proven experience supporting or leading data migration projects, including ETL processes, data transformation, validation and migration to new business systems. Strong experience designing analytical models, KPI frameworks and reporting solutions. Essential experience in data insight modelling, predictive analytics ...

flows and reporting processes, improving efficiency and repeatability. Drive improvements in data quality, reliability and performance across the data estate. Implement data quality controls, validation processes and cleansing routines to maintain data accuracy, consistency and integrity. Ensure data solutions comply with information security, governance and data protection requirements, including GDPR. ...

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 ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

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 ...

Factory)Monitor and troubleshoot pipelines to ensure high availability and performanceImplement robust error handling, logging, and alertingData Quality & GovernanceEnsure data quality, integrity, and consistencyImplement validation, testing, and monitoring frameworksWork with governance teams on data security, compliance, and policiesCollaboration & LeadershipPartner with Data Scientists, Analysts, and Product teamsMentor junior data engineers ...

data entering datasets and polluting downstream data models. Database Development/Management: Supporting development and operation of databases that can be used for invoice validation/cost reconciliation/supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant ...

skills, providing clear updates to stakeholders across levels. Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices. Preferred qualifications, capabilities, and skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

sign-offsDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patternsApply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation valueMaintain ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third-party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role-based security Ensuring compliance ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle ...

building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs - ground-truth evaluation datasets, accuracy, hallucination and toxicity metrics, guardrails and content moderation, red-teaming, and embedding evals into CI/ ...

Engineering to create and enact impactful initiatives and strategies in the data domain. Ensure the quality, accuracy, and completeness of data by implementing data validation, integrity, and monitoring processes. Optimize and tune the performance of the data ecosystem, including databases, data warehouses, data lakes and data streams in an event ...

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 ...

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 ...

sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision‐making across different business areas. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations ...

system configurations. Use credit bureau data and client requirements to support the delivery of effective credit risk and lending strategies. Perform testing and data validation activities to ensure solutions are configured accurately and perform as expected. Support User Acceptance Testing (UAT), including investigating issues, identifying root causes, and assisting with ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

acute care organisations or equivalent Experience of Intersystems HealthConnect. Experience developing integration solutions with HL7, Webservices/XML, Files. Experience in implementing data validation and verification solutions to enhance data integrity and quality. Desirable Experience in the transformation of NHS datasets for differing Experience of Acute Hospital Information Systems ...

significantly contribute to cross-functional projects. Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook ...