276 to 300 of 381 Validation Jobs in Scotland

will be someone that genuinely enjoys R&D projects, have experience in CREO for product design and be happy to manage the verification and validation for product releases. THE ROLE: Work collaboratively to define the product development life cycle Use CREO for product design and layouts Test and debug designs ...

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 ...

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 ...

understanding of data migration strategies and methodologies, specifically in the context of SAP S/4HANA transitions. This includes expertise in data cleansing, transformation, validation, and the technical tools involved in migrating data to SAP S/4HANA. This role requires guiding cross functional teams, ensuring successful project delivery …/4 HANA MDG and Data Migration solutions, ensuring alignment with business needs, industry best practices, and technical standards. Define data models, workflows, validation rules, and integration points to optimize master data management processes. Provide technical leadership and guidance to project teams, including SAP MDG consultants, developers, and analysts. Establish ...

understanding of data migration strategies and methodologies, specifically in the context of SAP S/4HANA transitions. This includes expertise in data cleansing, transformation, validation, and the technical tools involved in migrating data to SAP S/4HANA. This role requires guiding cross functional teams, ensuring successful project delivery …/4 HANA MDG and Data Migration solutions, ensuring alignment with business needs, industry best practices, and technical standards. Define data models, workflows, validation rules, and integration points to optimize master data management processes. Provide technical leadership and guidance to project teams, including SAP MDG consultants, developers, and analysts. Establish ...

offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The RoleWe are looking for a Data Validation Specialist to join our team and support the data conversion for new Addepar clients. This role involves cross-referencing large sets of financial data between ...

become available in the Model Risk Office (MRO) within Lloyds Banking Group’s Risk division.You are responsible for independent model reviews and technical validation across a broad range of regulatory and non-regulatory models across our Retail or Commercial divisions, including Treasury.This is an excellent opportunity to accelerate your modelling … which may include recoding, software development, challenger modelling, and the application of mathematical techniquesReview and challenge model development activities, including data profiling, model selection, validation, back-testing, stress testing, documentation, and contribution to key projectsEvaluate model build, calibration, operation, usage, reporting, governance, and overall fitness for purposeDocument and communicate validation ...

business winning for Leonardo. Leonardo is seeking to recruit Systems Engineers to join its ECRS Mk0 programme to support on-going Integration, Verification and Validation (IVV) activities for current & future contracts. Depending on your experience, there is opportunity to join this team at varying levels of seniority (including Senior ...

dependencies. Work with Data Leads, Product Domains and Functional Leads to ensure data ownership and quality requirements are clear. Support data readiness for design validation, build, testing, cutover and go-live. Ensure data issues, cleansing actions, migration dependencies and ownership gaps are actively managed. Support the creation of a single … RAID logs and escalat Provide timely and accurate reporting into PMO governance. Testing, Migration, Cutover & Readiness Coordinate workstream readiness for data migration cycles, process validation, SIT, UAT, cutover rehearsals and go-live. Track testing progress, data defects, migration issues and readiness criteria. Ensure data loads, reconciliation, validation and business sign ...

data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance … GitHub Copilot, ChatGPT or Claude responsibly. What were looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance and data quality . ...

data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance … Copilot, ChatGPT or Claude responsibly. What we’re looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance and data quality . ...

looking for: Proven experience leading QA across web product or platform teams Hands-on experience of API testing Strong manual testing, UAT and release validation experience in a product-led environment Comfortable working within lean-agile/Scrum teams Confident communicator, able to engage stakeholders at all levels Experience with … application testing, cross-browser validation and accessibility standards Good working knowledge of CI/CD pipelines and how QA fits within them A track record of establishing QA functions within product or web teams from scratch Due to close links to the UK HomeOffice our client will require all successful ...

SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development … enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations at scale, including security/resiliency ...

SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development … enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human‐in‐the‐loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations at scale, including security/resiliency ...

SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development … enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications ...

outputs and handling data according to sensitivity and security requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills:Formal training or certification … lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating ...

outputs and handling data according to sensitivity and security requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills:Formal training or certification … rule development, issue remediation, and preventative controlsDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating ...

handling data according to sensitivity and security requirements Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: Formal training or certification … development, issue remediation, and preventative controls 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., code, model/design summaries or operational checklists) before ...

Addepar is seeking a Lead, Data Validation Specialist to oversee a team responsible for ensuring the accuracy and integrity of financial data during new client onboarding. You will manage daily workflows, drive consistency across projects, and serve as the main liaison between Data Validations and cross-functional partners. This ...

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single ...

At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings ...

programme-level assurance across system, integration, end-to-end, migration, regression, UAT, non-functional and operational readiness testing. Lead migration assurance, including transformation validation, reconciliation, controls, exception management, dress rehearsals and production verification. Establish cross-vendor defect governance and maintain end-to-end traceability from requirements through testing, defects … offshore teams. Strong Policy Administration System experience within Life, Protection, Pensions, Annuities or Long-Term Savings. Significant data migration testing experience, including reconciliation, transformation validation, exception analysis, rehearsals and production verification. Proven ability to define programme test strategies, integrated plans, quality gates and enterprise-level governance. Strong defect governance ...

handling data according to sensitivity and security requirements Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: Formal training or certification … analysis, metadata management, and data cataloguing 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., code, model/design summaries or operational checklists) before ...

security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controlsUse enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting … using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivityAbility to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes ...