1 to 25 of 5,649 Validation Jobs in the UK

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional … services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios ...

product, financial engineering, data, technology, support, professional services, and client-facing teams to analyze requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services Translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories … Integration workflows Investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis Support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring Act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints ...

field. Experience, Skills and Competencies Hands-on experience with Data Visualisation tools including PowerBI, Tableau and Excel Dashboarding (mandatory). Strong expertise in Data Validation, Cleansing, Remediation and Transformation to ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation ...

Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making. Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets. Collaborate with project teams, business stakeholders, analysts, and digital specialists to define ...

availability of trusted and high-quality institutional data. Support fee setting and student recruitment target setting processes in Cognos TM1, including data transformation, validation and quality assurance activities.Administer and support end user experience within the Simitive Workload Allocation Model, and lead on reporting delivery and enhancements. Provide technical support ...

Who You'll Be Working WithYou will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud ...

# Business AnalystBirmingham, Bristol, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Business Analysis* ID 529964-en\_GB## **Who You'll Be Working With**You will join the Data Trust Capability in ...

data quality Design and implement scalable, high-performance data models to support analytics and reporting use cases Implement and enforce data quality frameworks, validation checks and governance standards across pipelines and reporting datasets, in line with secrity and compliance policies Support the development and maintenance of Power BI and Fabric … across multiple business functions, translating requirements into practical reporting solutions Ability to independently own and deliver end‐to‐end reporting solutions Experience implementing data validation and quality checks within reporting datasets and pipelines Strong understanding of data modelling concepts (e.g. star schema, dimensional modelling BSc/BA in Computer Science ...

data governance model. Experience implementing and advocating for test‐driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Deep understanding ...

approvals, rejections, override requests, and rationale capture. Define application components that allow authorized business users to manage source mappings, broker configurations, thresholds, prioritization rules, validation rules, and regional settings. Design role-based application views for Commodity Risk, Trading, Finance, ARC, administrators, and operational support users. Ensure Dataiku applications provide clear … processing status, validation results, exception queues, approval history, and audit evidence. Establish architecture patterns for communication between Dataiku WebApps, Dataiku processing pipelines, PostgreSQL or Amazon RDS, Power Automate, and Power BI. Ensure application activity, including changes, approvals, rejections, overrides, comments, and resubmissions, is recorded in the governed evidence repository. Define ...

test leads, automation engineers, performance specialists, and TDM experts. Lead regression and upgrade-specific testing activities, including baseline regression packs, compatibility testing, data migration validation, cutover rehearsals, and post-go-live verification. Required Technical & Domain Skills Extensive experience in General Insurance testing with functional understanding of policy, billing, claims, rating … with minimal defects or rollbacks. Effective mitigation of testing risks and timely stakeholder sign-off for releases. Improved feedback loops through CI-driven continuous validation and quality gates. Typical Deliverables Comprehensive test strategy and test plan. Automation strategy and Playwright framework implementation. Non-functional testing (NFT) strategy and TDM strategy ...

timely data availability (batch and near real‐time) to support both operational reporting and advanced analytics. Assure data quality and integrity through automated validation, monitoring, and issue management across the full data lifecycle. Own platform reliability, performance, and cost management, including capacity planning and optimisation of storage/compute. Establish ...

classification schemas, taxonomy, and metadata models. Support data owners and stewards in cataloguing and tagging data assets. Run data scans, quality checks, and lineage validation tasks. Produce and maintain operational runbooks, configuration documentation, and governance processes. Create user guides for end users, compliance officers, and IT support teams. Document incident ...

start building tomorrow’s world today! Job Description Join our team as a V&V Systems Engineer and take ownership of verification and validation activities for advanced aerospace and defence systems . In this role, you’ll ensure the integrity and performance of critical communication and avionics platforms, contributing … week Seniority: Senior (5+ years of experience) Clearance: Candidates must be willing and eligible to obtain SC clearance. Key Responsibilities Lead system verification and validation (V&V) activities for aerospace and defence applications. Develop and execute test plans, procedures, and reports to ensure compliance with industry standards and project requirements. ...

data warehouses to modern cloud platforms. You will play a key role in ensuring data quality, integrity, and performance, particularly through robust testing and validation of ETL pipelines.As a senior practitioner, you will collaborate with architects, engineers, and analysts to deliver secure, scalable, and high-performing migration solutions, leveraging technologies …/PySparkSQLYAML-driven configurationsImplement bulk data migration processes followed by incremental/delta loadsSupport pipeline repointing and replatforming to target cloud architecturesData Pipeline Testing & Validation (Core Focus)Test end-to-end ETL data solutions running on AWS services, including AWS Glue and Apache IcebergValidate data feed pipeline migrations transitioning ...

managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks.Key Responsibilities:Azure Platform Support & MonitoringSupport and maintain Azure-based data solutions, including:Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark …/CD: Azure DevOps, GitHub Actions, YAML pipelinesScripting: Python, PowerShellMonitoring: Azure Monitor, Log Analytics, Alerts, Application Insights SQL & Data WarehousingSQL skills for debugging, data validation, and optimizationExperience with Azure SQL DB, or SQL ServerFamiliarity with data modeling concepts and warehouse performance tuningSupport & Incident ManagementStrong troubleshooting and analytical skills for root ...

Settlements, Finance Operations and Procurement. Lead the finance workstream of LCCC’s future ERP migration — owning requirements gathering, controls mapping, UAT coordination, data migration validation, and finance-side user adoption. Act as the main point of contact with IT to cover the period of connectivity with the new settlement system … Finance Operations. Lead process transformation projects from discovery and mapping to solution design, build, testing, and controlled handover, ensuring each automated solution includes validation, exception flagging, and audit trails. Implement workflows and integrations between finance systems and other business applications. Design automated outputs to be operable and updatable by finance ...

accessibility considerations. Mentorship in visualisation : Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data Quality Assurance, Validation, and Linkage Data quality assurance : Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing, and standardisation. Data validation and linkage … Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation : Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers, and duplicates. Communication of data limitations : Skilled in articulating data constraints and limitations ...

techniques in collaboration with pricing engineers and ML teams, ensuring governance in a regulated environment. Own post‐release quality activities, including monitoring, alerting and validation of controls to detect issues early. Optimize QA test environments for stability and reliability, reducing environment‐related failures. Support incident RCA activities by providing testing … engineering environments. Strong understanding of modern testing practices: risk‐based testing, shift‐left quality, end‐to‐end assurance. Experience with test environments and data validation using SQL and data comparison techniques. Familiarity with defect tracking tools such as Azure DevOps and the ability to produce clear, meaningful quality metrics. Excellent ...

will also have the following: Essential Experience designing and delivering Business Intelligence solutions using Power BI. Strong SQL querying, data analysis and data validation skills. Strong understanding of DAX, including measures, calculated columns, time intelligence and performance optimisation. Proven ability to gather requirements, engage stakeholders and translate business needs into … effective reporting and analytical solutions. Experience supporting data testing, validation and quality assurance activities. Understanding of data governance principles including business definitions, ownership, lineage and reporting standards. Awareness of AI-enabled analytics, Copilot and natural language reporting capabilities. Desirable Exposure to Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2 and Semantic ...

delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation). Key Responsibilities Technical delivery Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean ...

performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively.Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts.Insurance or financial ...

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. ...