126 to 150 of 3,372 Validation Jobs in England

attention to secure configuration, access control, logging, vulnerability management, data protection and application security.Strong database testing skills, including the use of SQL for data validation and fault investigation.Ability to develop solutions to difficult or unclear technical testing problems through deep analysis and collaboration with internal experts.Deep understanding of software testing ...

privileged access governance and evidence retention.Ensure AI-enabled App Services solutions operate within clear governance guardrails, including human oversight, auditability, data privacy, model output validation and restrictions on autonomous changes in production environments.Lead service continuity planning and operational resilience for critical App Services accounts, including disaster recovery alignment, business continuity ...

across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us!Our Credit Model Validation team is crucial … safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment.You ...

Lead modernization of commodities data pipelines across reference data, fundamentals, curves, pricing, index data, and environmental datasets. Establish scalable patterns for ingestion, transformation, enrichment, validation, publication, monitoring, and exception management. Assess existing workflows to identify duplication, fragility, inconsistent logic, manual intervention, and opportunities for automation or consolidation. Re-engineer legacy … workflows into scalable, resilient, supportable, and well-controlled operating models. Define standards for data manufacturing workflows, including documentation,Partner with Data Quality to embed validation, completeness, timeliness, reconciliation, and exception controls into core workflows. Work with Data Modelling to ensure pipelines support agreed entities, identifiers, relationships, taxonomies, metadata, and lifecycle ...

Lead modernization of commodities data pipelines across reference data, fundamentals, curves, pricing, index data, and environmental datasets.Establish scalable patterns for ingestion, transformation, enrichment, validation, publication, monitoring, and exception management.Assess existing workflows to identify duplication, fragility, inconsistent logic, manual intervention, and opportunities for automation or consolidation.Re-engineer legacy workflows into scalable … resilient, supportable, and well-controlled operating models.Define standards for data manufacturing workflows, including documentation,Partner with Data Quality to embed validation, completeness, timeliness, reconciliation, and exception controls into core workflows.Work with Data Modelling to ensure pipelines support agreed entities, identifiers, relationships, taxonomies, metadata, and lifecycle rules.Ensure datasets are delivered with ...

core of the program. You will design and build the tooling and services that power AI-assisted model documentation, automated model testing and validation workflows, large-scale risk data analysis, and model lifecycle management. You will work closely with quantitative analysts, model validators, data engineers, and the program leadership … pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families. Build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting. Develop data analysis and reconciliation tooling over large-scale risk datasets, ensuring data ...

core of the program. You will design and build the tooling and services that power AI-assisted model documentation, automated model testing and validation workflows, large-scale risk data analysis, and model lifecycle management. You will work closely with quantitative analysts, model validators, data engineers, and the program leadership … services, pipelines, and tools supporting automation of the quantitative model lifecycle across market risk and credit risk model families.Build and operate automated testing and validation frameworks for quantitative models, including test orchestration, result capture, benchmarking, and reporting.Develop data analysis and reconciliation tooling over large-scale risk datasets, ensuring data quality ...

across SuperVision products and integrations.Validate data accuracy, completeness, and integrity across source systems, APIs, and downstream reporting.Develop ad hoc analyses, reconciliation reports, and data validation artifacts to support releases, audits, and executive decision-making.Proactively surface insights and recommendations based on data findings, not just stated requirements.Develop and maintain user-facing … data literacy through training, walkthroughs, and collaboration with help desk and support teams.Partner closely with QA to define test strategies, acceptance criteria, and data validation approaches for business-critical functionality.Design and execute test cases that validate calculations, aggregations, transformations, and reporting outputs.Confirm post-release data quality and stability through targeted ...

products and integrations. Validate data accuracy, completeness, and integrity across source systems, APIs, and downstream reporting. Develop ad hoc analyses, reconciliation reports, and data validation artifacts to support releases, audits, and executive decision-making. Proactively surface insights and recommendations based on data findings, not just stated requirements. Develop and maintain … literacy through training, walkthroughs, and collaboration with help desk and support teams. Partner closely with QA to define test strategies, acceptance criteria, and data validation approaches for business-critical functionality. Design and execute test cases that validate calculations, aggregations, transformations, and reporting outputs. Confirm post-release data quality and stability ...

Components (LWC), Visualforce and Salesforce Lightning Build and support Agentforce and Agentic AI solutions within the Salesforce ecosystem Implement Salesforce customisations, workflows, approvals, validation rules, security controls and automation Design and develop integrations using REST APIs, SOAP APIs and Platform Events Develop reusable Apex classes, controllers, triggers and framework components … Design System Experience delivering large-scale Experience Cloud implementations Strong Salesforce administration, configuration, implementation and development experience Strong understanding of Salesforce security models, workflows, validation rules and data management Experience developing REST and SOAP API integrations Strong knowledge of SOQL and SOSL Experience with asynchronous Apex including Batch Apex ...

solutions.Key ResponsibilitiesProvide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches.Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams.Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles.Assure data pipeline integrity … throughout migration, testing, validation, and dual-running activities.Mentor and guide Informatica engineers and project teams throughout the delivery lifecycle.Skills We Can't Do WithoutExtensive experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS).Strong expertise in ETL development, data integration, and source-to-target data mapping.Proven experience ...

Provide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches. Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles. Assure data … pipeline integrity throughout migration, testing, validation, and dual-running activities. Mentor and guide Informatica engineers and project teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS) . Strong expertise in ETL development, data integration ...

rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through … data models for data warehouse/data lake (Redshift, S3) Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR) Implement data quality checks, validation, and reconciliation processes Optimize pipeline performance and manage compute/storage costs Ensure data security and access control (IAM, KMS, encryption) Monitor and troubleshoot pipeline ...

other critical systems, such as our ERP (SAP), and shop-floor equipment (PLCs/SCADA), ensuring a reliable flow of data.Validation and Compliance: Execute validation protocols (IQ/OQ/PQ) for MES enhancements and new implementations. You will be responsible for generating validation documentation and ensuring systems are maintained … pharmaceutical, biologics, animal health, or another GxP-regulated industry.Regulatory Knowledge: A working knowledge of GxP (Good Manufacturing Practices) and familiarity with computer system validation (CSV) principles.Process Control Understanding: Familiarity with industrial automation concepts, including PLCs, SCADA, and how they integrate with higher-level manufacturing systems.Database and SQL Skills: Experience with ...

frequently and understand NoSQL databasesApplies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 3 years applied … Databricks, and Python.Experience across the data lifecycle.Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating ...

workloads on target cloud platforms.Develop and optimise SAS data flows, ETL processes, and migration scripts to support successful cloud migration activities.Execute data migration, validation, reconciliation, and cleansing activities to ensure data accuracy and integrity.Support testing, defect resolution, troubleshooting, and technical documentation throughout the migration lifecycle.Collaborate with SMEs, architects, and delivery … WithoutStrong experience in SAS engineering, development, and administration.Proven expertise in ETL development, data integration, and data pipeline implementation.Experience with data migration, validation, reconciliation, and data quality processes.Scripting experience and the ability to automate migration and transformation activities.Experience working with cloud-based data platforms and modern data architectures.Skills We'd LikeExperience ...

target cloud platforms. Develop and optimise SAS data flows, ETL processes, and migration scripts to support successful cloud migration activities. Execute data migration, validation, reconciliation, and cleansing activities to ensure data accuracy and integrity. Support testing, defect resolution, troubleshooting, and technical documentation throughout the migration lifecycle. Collaborate with SMEs, architects … Without Strong experience in SAS engineering , development, and administration. Proven expertise in ETL development , data integration, and data pipeline implementation. Experience with data migration, validation, reconciliation, and data quality processes . Scripting experience and the ability to automate migration and transformation activities. Experience working with cloud-based data platforms ...

rules that govern AI behavior and make outputs repeatable, auditable, and maintainable. Apply context engineering by curating source materials, instructions, examples, business rules, and validation criteria that improve the quality, consistency, and reliability of AI-generated outputs. Validate AI-generated code, analyses, and recommendations to ensure technical accuracy and business … concepts including ETL/ELT, Data Modeling, Data Quality, and Performance Optimization. Knowledge of AI Development, specifically agent workflows, prompt engineering, context engineering, and validation patterns. Proficiency with Development Tools like Git and GitHub. Critical thinking and sound engineering judgment. Ability to validate, challenge, and own AI-generated outputs. Strong ...

ensuring they are logical and efficient and optimised.Produce professional, high-quality reports and dashboards, typically using Power BI.Lead on data quality checking, cleansing and validation to ensure accuracy and completeness.Oversee the production and submission of statutory NHS returns and reports.Maintain an understanding of the complete data lifecycle, including operational processesBuild … ensuring they are logical and efficient and optimised.Produce professional, high-quality reports and dashboards, typically using Power BI.Lead on data quality checking, cleansing and validation to ensure accuracy and completeness.Oversee the production and submission of statutory NHS returns and reports.Maintain an understanding of the complete data lifecycle, including operational processesBuild ...

Looking For 4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills Comfortable explaining complex data concepts to both technical and non-technical audiences A consultative ...

decisions Key Responsibilities: Design and develop robust data models using Databricks (Medallion Architecture) Write and optimise complex SQL queries for data extraction, transformation, and validation Build and maintain Power BI dashboards to support finance reporting Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling Translate business requirements ...

within Fabric. Lakehouses, Data Warehouses and Medallion Architecture to support reporting requirements. DAX, Power Query and SQL to develop high-quality reporting solutions. Data validation, reconciliation and governance processes to ensure reporting accuracy and consistency. A wide range of business data including finance, commercial, customer and operational datasets. Benefits ...

capabilities and ways of working You'll also be expected to maintain high analytical and development standards, with a focus on robust testing and validation, clear documentation, version control and producing maintainable, reusable code. What we're looking for We're looking for someone with strong experience in insurance pricing ...

particularly PostgresExperience designing schemas and building data models that reflect real-world business logicFamiliarity with DBT or similar data transformation frameworksStrong understanding of data validation, testing and quality assurance practicesManages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as codeGrasps new business domains quickly, translating unfamiliar logic ...

translate business questions into technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high standards of data quality, data integrity, security ...