1 to 25 of 3,046 Permanent 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 ...

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.ResponsibilitiesThe Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services … 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, release notes ...

automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years ...

security, privacy, data residency, and operational standards.Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.Drive production-readiness reviews, performance validation, monitoring, and support handover.Engineering & Agile ExecutionLead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.Manage delivery through tools such as JIRA and/ ...

structures and naming conventions.Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases.Respond to pipeline failures, data validation issues, and operational alerts.Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards.Validate data outputs with business ...

Job Description: Senior Test Analyst (Informatica ETL/Data Warehouse) Contract Duration: 6 months (Initial term) Location: Remote Day Rate: £545 per day. (Inside IR35) Security Clearance: Active SC Clearance Required (BPSS minimum acceptable for ...

controls across the full technology landscape. Embed automation-first testing into CI/CD pipelines, covering functional, regression, reconciliation, interface, data quality and operational validation across cloud data platforms and integration services. Define validation approaches for Microsoft Fabric workloads, including Lakehouse and Warehouse structures, Medallion Architecture flows, Data Factory pipelines … notebooks, semantic models, Power BI outputs and Direct Lake reporting patterns. Establish QA practices for EBX master and reference data capabilities, including workflow validation, hierarchy testing, data governance rule validation, reference data integrity and integration with downstream consuming platforms. Define assurance patterns for Azure Integration Services, including API and interface ...

technical and non-technical audiences.Provide structured updates on requirements status, risks, dependencies, and decisions.Ensure stakeholder alignment and sign-offs on requirements and solution design.Testing, Validation, and GovernanceReview and support SIT, UAT, and regression testing scenarios based on business requirements.Review test cases, test data, and expected outcomes.Support defect triage, root cause ...

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 ...

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 ...

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 ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud‐based solutions, or AWS‐enabled automation would be highly beneficial. Experience deploying ...

maintain CI/CD pipelines in Azure DevOps for automated deployment, versioning and operationalisation of AI services and components. You’ll develop automated testing, validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation. You’ll establish and promote best practices for AI data pipelines, MLOps/ ...

maintain CI/CD pipelines in Azure DevOps for automated deployment, versioning and operationalisation of AI services and components.You’ll develop automated testing, validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation.You’ll establish and promote best practices for AI data pipelines, MLOps/AIOps, cloud ...

initiatives.Maintain rigorous requirement traceability to ensure all deliverables align to validated business outcomes.Support User Acceptance Testing (UAT), including planning, execution, defect management, and validation activities.Operate effectively within Agile delivery environments and complex matrix organisations.Participate fully in Agile ceremonies including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.Work closely with ...

979e-7ab81c0e919cLocation: Stockholm; LondonSalary: 78293 - 111960 GBPType: Full timePosted: 2026-04-27Contact: ivy.chiang@klarna.comWhat you will do Perform independent end-to-end validation of credit risk (e.g., underwriting and limit management), finance (provisioning, offloading, profitability), and other models, rigorously reviewing and challenging all aspects: conceptual soundness, data integrity, feature … first-line data scientists, machine learning (ML) engineers, and product stakeholders to understand models’ business context and ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and regulatory expectations. Drive the continuous enhancement of agentic ...

teams during implementation and testing phases. Data & Migration Support Support data migration and data quality activities, including: o Legacy-to-target data mapping o Validation rules o Reconciliation logic Assist with defining cutover and transition requirements during core banking migrations. Testing & Validation Define functional and integration test scenarios. Support ...

data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines Design …/CD pipelines and deployment processes to ensure reliable and repeatable releases. Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions. Continuously improve the platform through modern engineering ...

design patternsAbility to work in an Agile development environmentPreferred Qualifications Experience testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps … practices (e.g., model monitoring, drift detection, deployment validation)Knowledge of ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow ...

design patternsAbility to work in an Agile development environmentPreferred Qualifications Experience testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps … practices (e.g., model monitoring, drift detection, deployment validation)Knowledge of ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow ...

design patternsAbility to work in an Agile development environmentPreferred Qualifications Experience testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps … practices (e.g., model monitoring, drift detection, deployment validation)Knowledge of ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow ...

ability to assure quality solutions. This role operates within an agile delivery team in a Data Factory model and focuses on technical validation of data pipelines, transformations, and analytical outputs to ensure high levels of data quality, accuracy, and reliability for a data migration transformation programme. Working under … execute automated data tests in line with functional requirements, non-functional requirements and acceptance criteriaValidate data quality dimensions.Implement source-to-target reconciliation, schema validation, and transformation testing in ETL/ELT environmentsCollaborate with cross-functional teams in a multi-vendor environment to understand business requirements and translate them into technical ...

ensure accuracy, completeness, and consistency of critical data assets.Oversee and manage complex Data Migration projects, including strategy development, planning, execution, and post-migration validation, ensuring minimal disruption and data integrity.Develop and implement Metadata Management strategies and solutions, including data cataloguing, business glossaries, and data lineage tracking, to enhance data understanding … experience in developing and deploying comprehensive data management solutions in a professional setting.Designing, implementing, and managing Data Quality programmes, including data profiling, cleansing, validation, and monitoring.Executing Data Migration projects across various source and target systems, including defining migration strategies, data mapping, transformation, and reconciliation.Metadata Management tools and practices, including data ...