1 to 25 of 3,348 Permanent Validation Jobs in England

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 ...

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 ...

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 ...

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 ...

transformation delivery Work alongside the site engagement lead to understand each NHS clients priorities, operational context and analytical requirements. Plan and facilitate discovery, data validation and insight workshops with clinical, operational, performance and analytical stakeholders. Co-develop improvement roadmaps with clear milestones, measures, ownership, risks and governance. Provide on-site … dashboards and reports that enable NHS teams to monitor delivery and take timely action. Track outcomes, identify where interventions require adjustment and support the validation of realised benefits. Produce concise, executive-ready reports, presentations and board papers. Data quality and assurance Work with NHS Trust data teams to extract, understand ...

both waterfall and agile delivery models. Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical ...

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 ...

Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support the migration and re-platforming of legacy SQL Server data warehouse ...

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 ...

engineering principles. AI-Native Mindset Uses AI tools and agentic workflows to improve productivity, quality and delivery outcomes. Applies sound engineering judgement, governance and validation when working with AI-generated outputs. Comfortable using AI to accelerate software development while maintaining accountability and control. Converts complex business requirements into clear, testable ...

engineering principles. AI-Native Mindset Uses AI tools and agentic workflows to improve productivity, quality and delivery outcomes. Applies sound engineering judgement, governance and validation when working with AI-generated outputs. Comfortable using AI to accelerate software development while maintaining accountability and control. Converts complex business requirements into clear, testable ...

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 ...

Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and reliability. Support quality assurance for large-scale data migration and modernisation programmes, including reconciliation, validation and defect management. Partner closely with engineers, architects and business stakeholders to manage quality risks, improve outcomes and deliver trusted data solutions. What … teams within data-centric environments, including large distributed teams across onshore and offshore locations Strong hands-on experience across data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server, with advanced ...

Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and reliability. Support quality assurance for large-scale data migration and modernisation programmes, including reconciliation, validation and defect management. Partner closely with engineers, architects and business stakeholders to manage quality risks, improve outcomes and deliver trusted data solutions. What … teams within data-centric environments, including large distributed teams across onshore and offshore locations Strong hands-on experience across data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server, with advanced ...

such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services … Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark Python and/or Java Data quality, validation and monitoring Git, CI/CD and Agile delivery practices Experience being most Senior of Lead within a project Eligibility for SC Clearance Joining Jacobs ...

pipelines across Development, Test, UAT, and Production environments. Implement version-controlled configuration management and rollback mechanisms. Maintain deployment artefacts and release documentation. Support automated validation and testing of Purview configurations. Configuration Management Maintain repository of Purview configuration files. Record and track manual configuration changes. Create configuration baselines and environment comparisons. ...

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 ...

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 ...

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 ...

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 ...