276 to 300 of 4,766 Validation Jobs in the UK

recruiting on behalf of our client for a skilled Test Engineer with a focus on test automation and data validation to support data and cloud transformation programmes. This role is ideal for an engineer with experience in ETL testing, automation practices, and cloud-based data platforms. You will contribute … reliability, and alignment with client objectives. Key Responsibilities Design and implement automated tests for data pipelines, ETL processes, and cloud-based platforms Perform data validation activities, ensuring accuracy, completeness, and integrity across datasets Develop and maintain test automation using Python and pytest, with exposure to TDD and BDD (Behave) approaches ...

readiness before production deployment. Ensure OAT activities align with release and deployment schedules. Operational Test Execution Execute and coordinate testing for: Monitoring and alert validation Alert simulation and escalation testing Backup and restore validation Failover and disaster recovery testing Batch processing and restart validation Stability and soak testing Operational support … procedures Security and access validation Environment verification Defect & Evidence Management Produce comprehensive operational test evidence. Record, prioritise, and manage operational defects. Support root cause analysis of production readiness issues. Coordinate retesting after fixes. Maintain OAT documentation and audit artefacts. Collaboration Work closely with DevOps, Infrastructure, Service Management, and Development teams. ...

champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including … risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership ...

champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including … risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership ...

executive oversight for multiple client engagements, programs, and transformation initiatives simultaneously. Govern multi-million-dollar portfolios encompassing Quality Engineering, Test Automation, Digital Assurance, AI Validation, SAP Testing, Data Testing, and Cloud Validation. Ensure alignment of delivery outcomes with business objectives, contractual commitments, and customer success metrics. Drive portfolio planning, resource … executive oversight for multiple client engagements, programs, and transformation initiatives simultaneously. Govern multi-million-dollar portfolios encompassing Quality Engineering, Test Automation, Digital Assurance, AI Validation, SAP Testing, Data Testing, and Cloud Validation. Ensure alignment of delivery outcomes with business objectives, contractual commitments, and customer success metrics. Drive portfolio planning, resource ...

Hivemind autonomy behavior and performance Build tools and utilities in Python to automate testing, data processing, and analysis workflows Develop test harnesses and data validation tools for Software-in-the-Loop (SIL)/Hardware-in-the-Loop (HIL)/Vehicle-in-the-Loop (VIL) and simulation environments Contribute … definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation Support the scaling and reliability of simulation infrastructure used for large-scale software validation Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams Work with developers to integrate test coverage directly into the development ...

maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures; source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top. You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time … data foundation. Maintain regional factor‐pack inputs and support configuration bridge analysis, sensitivity reporting, and regional variant data maintenance. Maintain change logs, assumptions logs, validation reports, and refresh‐cycle records, and provide analytical input to benchmark refresh decisions. Populate, validate, and reconcile baseline refresh inputs against approved source data, assumptions ...

Python for data pipelines, automation and integrations Designing and supporting production data pipelines and data warehouses Data modelling and scalable data architecture Data quality, validation, monitoring and observability Git, code reviews, automated testing and CI/CD Troubleshooting complex data and production issues Working independently and taking ownership of technical … comfortable working with inconsistent upstream data, identifying root causes and implementing practical solutions to improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have ...

generate actionable insights Developing integrated views of firms and entities across multiple data sources Identifying trends, concentrations, anomalies and data quality issues Performing data validation, reconciliation and quality assessments Working with stakeholders to understand analytical requirements and gather feedback Clearly communicating analytical findings to technical and non-technical stakeholders Essential … Tableau or Power BI Experience with AWS services, ideally S3, Athena and DynamoDB Experience identifying data quality issues and supporting remediation activities Strong data validation and reconciliation experience Excellent stakeholder management and communication skills The ability to work effectively in a fast-paced environment This is a hybrid position requiring ...

maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures; source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top.You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time … data foundation.* Maintain regional factor-pack inputs and support configuration bridge analysis, sensitivity reporting, and regional variant data maintenance.* Maintain change logs, assumptions logs, validation reports, and refresh-cycle records, and provide analytical input to benchmark refresh decisions.* Populate, validate, and reconcile baseline refresh inputs against approved source data, assumptions ...

performance, security, availability and capacity. Manage backups, restores, upgrades, patching and disaster recovery. Lead the IFS Cloud data migration, including planning, extraction, cleansing, transformation, validation and reconciliation. Coordinate migration activities with stakeholders, suppliers and implementation partners. Identify and resolve data quality issues and support data governance. Develop complex SQL queries … Advanced SQL development and troubleshooting skills. Experience delivering data migration projects involving large and complex datasets. Experience designing and carrying out data reconciliation and validation activities. A good understanding of database security, data governance and data quality principles. Strong analytical and problem-solving skills. Excellent communication skills, with the ability ...

risk and metadata requirements into asset models and governance patterns the organisation can reuse. Developing Python and Pydantic-based components that support data governance, validation, workflows and integrations. Shaping and configuring models and operating structures to embed data governance at enterprise scale. Using AI-assisted development tools to improve speed … security, compliance and accuracy. What we're looking for: Strong Python development background with hands-on experience of Pydantic and FastAPI for data modelling, validation, schema design, serialisation and API development. Practical experience with JSON, YAML, REST APIs and SQL in data-heavy environments. Background in metadata and logical data ...

business. Ifyou'renaturally curious, highly organised and enjoy solving problems through evidence‐based decision making,we'dlove to hear from you. Key responsibilities AI Validation & Quality Assurance Validate AI-generated outcomes across Energy and Insurance before they are used in business processes. Review call recordings,transcriptsand AI rationale todeterminewhether outcomes … areaccurateand appropriately applied. Identifytrue fails, false fails, accepted exceptions and potential technical issues. Ensure validation activities are completed accurately and consistently against agreed criteria. Analysis & Reporting Update system records and validation fields to ensure reportingremainsaccurateand reliable. Support monthly reporting cycles through completion of validation reviews and challenge processes. Conduct periodic ...

Задачи: Design and own the Snowflake data architecture, including data models, schemas, warehouses, RBAC, and performance; Write and optimize complex SQL for extraction, transformation, validation, and ad-hoc analysis; Build Python-based pipelines and transformations; Design and maintain integrations with upstream and downstream systems via RESTful APIs and Core Connectors … Develop subject‐matter expertise on key data elements and ensure data lineage and accuracy; Implement data quality checks, automated validation, and testing; Build and automate departmental workflows, approvals, and notifications using Microsoft Power Platform; Integrate Microsoft Power Platform workflows with Snowflake and other systems via APIs; Design, develop, and maintain ...

things that only surface once it lands: automation overwriting values post-import, subscription or contract logic that doesn't map cleanly, validation rules that silently reject or reshape records. You'll work closely with the Head of Data Migrations, data owners, and platform specialists (Salesforce, Chargebee, Dynamics) to make sure … both systems — not just field lists, but the underlying logic, constraints, and assumptions each platform makes Identify where source and target behave differently (validation rules, required fields, relationship structures, calculated vs. stored values, automation-driven overwrites) during discovery, and design for it rather than letting it surface as a defect ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...

things that only surface once it lands: automation overwriting values post-import, subscription or contract logic that doesn't map cleanly, validation rules that silently reject or reshape records. You'll work closely with the Head of Data Migrations, data owners, and platform specialists (Salesforce, Chargebee, Dynamics) to make sure … both systems — not just field lists, but the underlying logic, constraints, and assumptions each platform makes Identify where source and target behave differently (validation rules, required fields, relationship structures, calculated vs. stored values, automation-driven overwrites) during discovery, and design for it rather than letting it surface as a defect ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...

Microsoft Power BI certification). Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. Strong communication skills with the ability to engage technical and non-technical stakeholders. … patient outcomes. Additional Criteria Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. Strong communication skills with the ability to engage technical and non-technical stakeholders. ...

provide broad exposure to regulatory reporting workflows, technology modernization initiatives, and emerging AI-enabled capabilities across the regulatory reporting ecosystem.Key ResponsibilitiesBusiness Analysis, Requirements Definition & Validation* Lead key workstreams in a multi-year program to modernize PIMCO’s global regulatory transaction reporting platform* Partner with Regulatory Operations and external vendors … Collaborate with engineering teams throughout the software development lifecycle to support successful implementation of new capabilities and enhancements.* Develop test scenarios, test cases, and validation approaches for technology enhancements and regulatory reporting changes.* Coordinate testing activities with Regulatory Operations, Engineering, and other business stakeholders.* Assist with defect triage, issue analysis ...

Title: FM Data Transformation Lead Location: Stevenage/Bolton/Bristol - Hybrid The role will take ownership of the transformation from validation of the current position through to data governance, standardisation, technical foundations, reporting implementation, adoption and handover. Working across all FM functions, the postholder will bring together FM reporting … change management. Establish a consistent FM KPI library, including agreed definitions, calculation methodologies, ownership and approval routes. Define data quality standards and appropriate validation and reconciliation controls. Identify duplication, conflicting definitions and gaps across existing FM reporting. Establish appropriate governance for the ongoing creation, amendment and retirement of FM KPIs ...

validation. Identify opportunities to automate manual processes and improve the efficiency, scalability, and reliability of data operations. Design, develop, and maintain business logic, data validation frameworks, dashboards, and data workflows. Support the adoption and integration of new tools, technologies, and data sources, working closely with relevant technical stakeholders. Ensure strong … data quality and operational standards through effective monitoring, validation, documentation, and continuous improvement. Work closely with senior domain experts and specialists to enable effective delivery across key maritime datasets. Collaborate with Product, Engineering, Data, and Commercial teams to understand requirements, resolve challenges, and improve how data is delivered to customers. ...

support a time-critical supplier master data migration programme for a major insurance sector client. The successful candidate will lead the identification, remediation and validation of supplier master data, ensuring data is complete, accurate and fit for purpose ahead of key migration milestones. This is a hands‐on delivery role … data issues and secure business decisions. Build strong relationships across business and programme teams to accelerate issue resolution. Drive stakeholder accountability for data ownership, validation and approvals. Present progress updates, risks and recommendations to programme leadership. Delivery Leadership Provide day-to-day direction and oversight to a junior Business Analyst. ...

asset types, relations, attributes, domains and workflows. Develop high-quality Python solutions for data modelling and governance use cases, using Pydantic for schema definition, validation, serialisation and API-ready data structures. Build reusable Python libraries and automation patterns supporting data ingestion, governance workflows, data quality, lineage and reporting at enterprise … Experience Strong Python development skills with a minimum of ten years' professional experience, including practical delivery using Pydantic and FastAPI for data modelling, validation, schema design and API development, alongside JSON, YAML, REST APIs and SQL. Strong hands-on experience with Collibra, including asset model and metamodel design, platform configuration ...

lineage, and consistency across systems and geographies. Support CRM and commercial data for analytics and customer engagement use cases. Coordinate data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. … regulated environments. Data quality, governance, and metadata management. SQL and relational databases. CRM systems and commercial/customer data management. Data preparation, transformation, and validation for AI/analytics use cases. UAT support, requirements gathering, and business process documentation. Preferred Skills: Experience supporting international commercial operations, customer engagement, or commercial ...