151 to 175 of 4,266 Validation Jobs in the UK

including data extraction and manipulation using SQL. Practical experience with Oracle OL/SQL and R-SQL. Ability to develop, implement and maintain data validation, integrity and reconciliation controls, investigate discrepancies, and implement corrective actions to improve data quality and reporting accuracy. Demonstrated experience enhancing or migrating legacy Excel/ ...

sector or accessible digital services Strong communication and stakeholder collaboration skills Exposure to AI/ML-enabled development, including LLMs, context and guardrails‐style validation/testing, and model deployment/maintenance concepts Strong communication skills and ability to work effectively in a hybrid environment Due to the volume ...

Configuration Support Work closely with technical consultants to translate requirements into platform configurations Support data migration activities including legacy data mapping, template preparation, and validation Assist in creating and reviewing test cases for UAT (User Acceptance Testing) Facilitate UAT sessions and track defect resolution through to closure Project Delivery Collaborate ...

support SOAR and automation initiatives using technologies such as Microsoft Sentinel Automation, Cortex XSOAR, Splunk SOAR, Tines, and Swimlane . Threat Analysis & Detection Validation Validate the effectiveness of security detections through threat-focused analysis and threat hunting activities. Perform quality assurance reviews of detection rules and analyst handling processes. Review ...

Flink where it is the better fit), including event schema governance, exactly‐once semantics and stream‐to‐lakehouse integration. Define and embed data quality, validation and observability frameworks, and hold the team to them through design and code review. Govern the lakehouse and data warehouse design, ensuring consistency, scalability ...

transformations using PySpark, Spark SQL, SQL, and Python. Create and maintain curated datasets that support business intelligence, reporting, and analytics. Implement data quality, reconciliation, validation, and monitoring processes. Optimise data pipelines and workloads to improve performance, reliability, and cost efficiency. Support the development of reusable engineering frameworks, templates, and standards. ...

delivered on time, within budget and to a high quality. The role is accountable for driving the adoption of best practice across modelling, experimentation, validation and implementation, ensuring insights translate into practical and measurable business outcomes. The Data Science Manager will provide technical leadership across advanced analytics, machine learning ...

technical HR users High attention to detail and a proactive approach to problem-solving Advanced Excel skills (pivot tables, VLOOKUP/XLOOKUP, data validation) Strong analytical and problem-solving skills Understanding of UK and Ireland GDPR and data protection principles Desirable Experience with SQL or reporting tools (Power BI/ ...

frameworks, master data, data quality, and self-service analytics. Use quantitative and qualitative analysis to inform decisions, validate assumptions, and measure outcomes. Lead solution validation, UAT strategy, and benefits realisation activities. Provide expert guidance on organisational change, process redesign, and adoption of new data capabilities. Influence senior leaders and help ...

using Power BI to develop dashboards, reports and data visualisations. Experience using SQL to extract, manipulate and analyse data. Strong understanding of data cleansing, validation and data-quality principles . Experience creating and monitoring KPIs and performance metrics . Ability to translate raw data into meaningful business insights and recommendations ...

Skills, Capabilities and Attributes Essential Proven experience developing reports, dashboards and visualisations using Power BI. Strong working knowledge of SQL, data extraction and data validation techniques. Experience with Power Query, data modelling and reporting best practices. Ability to analyse complex datasets, identify trends and investigate anomalies. Strong analytical skills with ...

attendance depending on business and project requirements.Successful applicants will undergo pre-employment screening, including identity verification, employment history checks, nationality and right-to-work validation, and criminal record screening where applicable.What we'll offer youYou will be encouraged to have a positive work-life balance. Our hybrid-first ...

through to consumption. Analytical engineering depth: translates business requirements into maintainable data models and performant transformation logic. Data quality discipline: designs for validation, testability, lineage awareness, and predictable operational behaviour. Collaboration and influence: works effectively across engineering, analytics, and business stakeholders; drives clear technical decisions. Senior execution: balances speed ...

with foundation-model APIs and third-party agentic platforms. Maintain clear, reliable and type-safe contracts between backend and frontend components. Apply appropriate testing, validation, error handling, observability and fallback behaviour. Contribute to code reviews, technical documentation and the continued development of engineering standards. Collaborate with technical and non-technical ...

automated code reviews, synthesis, workflow orchestration, agent-driven monitoring/troubleshooting). Prototype and evaluate agentic workflows for automated anomaly detection, market data quality validation, and intelligent developer tooling. Technical Leadership & Excellence Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency ...

reliability. Write, review, and improve high‐quality production code while promoting engineering best practices. Provide constructive technical guidance and code review feedback, including validation of AI‐generated code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI‐Native Software Development Build production‐grade AI agents and agentic ...

Develop test scenarios and acceptance criteria that reflect business requirements and end-to-end processes. Guide customers through data migration planning, including data preparation, validation, reconciliation and cutover activities. Lead functional readiness reviews and support go-live planning and implementation. Provide structured hypercare and post-go-live support, ensuring that ...

product and process data. Support releases and integrations end‐to‐end: maintain pipelines, automate deployments, manage repositories and environments and ensure changes follow validation and change‐control requirements. Work with R&D and central ontology/knowledge‐graph teams to implement and operate data and metadata structures (for example applying ...

model and analyse data Learn how our APIs, decisioning flows and data pipelines work, and work directly with engineers on specs, testing and release validation Support Product Managers with discovery, delivery and partner onboarding Launch readiness & operations Define success criteria for each launch and the metrics that show whether ...

support models to meet service levels, internal standards, control obligations, and peak‐volume expectations. Establish monitoring, reporting, escalation, vendor oversight, health checks, observability, data validation, latency, capacity, release governance, readiness artifacts, and resiliency controls. Maintain engineering standards, capacity and resiliency planning, recovery playbooks, back‐out plans, readiness drills, support handoffs ...

insights. Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. Develop and evaluate insightful models using robust performance and validation methodologies. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Contribute to development of innovative AI, machine learning and advanced analytics capabilities. ...

cloud security, architecture, data engineering, and product teams to convert operational problems into reusable graph-powered capabilities. Own technical design reviews, coding standards, model validation, observability, performance tuning, security controls, documentation, and production-readiness gates. Mentor data scientists and engineers while remaining accountable for prototypes, reference implementations, critical code, troubleshooting ...

permission inheritance, and secure collaboration patterns. Demonstrated experience planning and delivering SharePoint or Microsoft 365 migrations. Hands‐on experience with Power Apps, including forms, validation, user experience design, security, and connectors. Hands‐on experience with Power Automate, including multi‐step flows, approvals, expressions, exception handling, retry logic, notifications, and integrations. ...

between project records, schedules, and financial reporting. · Use approved automation and AI-assisted tools to streamline reporting, meeting actions, and draft artifacts, with human validation, appropriate data protection, and adherence to organizational policies. · Capture lessons learned and recommend practical improvements to templates, delivery methods, controls, and project management practices. Required ...

flow requirements between D365 CE and adjacent systems for the integration and data architecture teams to design and build. Support data migration planning and validation alongside the Delivery Manager, working with data architects to define migration rules, cleansing strategies, and cutover acceptance criteria for all CRM workstreams. Be the primary ...