51 to 75 of 4,266 Validation Jobs in the UK

data products to meet evolving analytical and business requirements. Drive high standards of data quality, integrity and governance through the implementation of automated validation, cleansing, monitoring and anomaly detection processes. Integrate, transform and harmonise data from a wide range of internal and external sources, including policy, claims, telematics and third … data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage, permissions management, governance controls and data asset tagging. Strong analytical and problem-solving skills, with the ability ...

Perform day-to-day administration of the Salesforce platform. Manage users, roles, profiles, permission sets, and security controls. Administer custom objects, fields, page layouts, validation rules, flows, and approval processes. Monitor platform health, data quality, and system performance. Support access provisioning, deprovisioning, and periodic access reviews. Application Support Provide Level … with service level agreements and operational standards. Release & Change Management Support Salesforce releases, deployments, and platform upgrades. Participate in testing, change assessments, and production validation activities. Maintain release documentation and deployment records. Support regression testing and post-release monitoring. Business Engagement & Delivery Work closely with business stakeholders to gather ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards.• You’ll support release planning, deployment activities, environment management and post-release validation activities.• You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery.• You’ll collaborate with security, governance … profiles, segmentation and activation.• You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features.• You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

ensure solutions align with approved designs, security requirements and technical standards. • You’ll support release planning, deployment activities, environment management and post-release validation activities. • You’ll follow source control, deployment, continuous integration and release management processes to ensure high-quality solution delivery. • You’ll collaborate with security, governance … profiles, segmentation and activation. • You’ll have at least 3+ years of experience building Salesforce solutions using declarative tools such as Salesforce Flow, configuration, validation rules, permissions and data management features. • You’ll understand customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference ...

maintaining CRM solutions across Sales Cloud, Service Cloud, Revenue Cloud and Data Cloud Configuring and customising Salesforce using Apex, Lightning Web Components, Flows, Validation Rules, process automation and Custom Metadata Building scalable integrations between Salesforce and other platforms (Informatica, ERP, MDM, marketing automation, eCommerce, customer support and data platforms) using ...

data engineering processes. Monitor data pipelines, Power BI refreshes, and production environments. Troubleshoot pipeline failures, data quality issues, and deployment problems. Implement data validation, monitoring, logging, and alerting. Work with development, analytics, and business teams to understand requirements. Follow DevOps and DataOps best practices around version control, automation, testing ...

data needs, including: Developing ETL/ELT and data processing workloads Connecting internal and third-party systems through APIs and SFTP Building automated testing, validation and data quality controls Resolving production incidents and dealing with their root causes Improving performance, reliability, scalability and cloud costs Raising standards in automation, observability ...

guidance and mentor junior testers where required. Compliance and Quality Standards Align testing practices with relevant GOV.UK Service Standard and DDaT requirements. Support the validation of security, accessibility and performance requirements through automated and manual testing, where appropriate. Ensure testing approaches contribute to the delivery of reliable, accessible and user ...

behind the businesss reporting, analytics and wider data needs. Youll also: Integrate internal and third-party systems using APIs and SFTP Build automated testing, validation and data quality controls Improve performance, reliability, scalability and cloud costs Investigate production incidents and fix the underlying cause, not just the symptom Improve observability ...

Work closely with Business Analysts, Data Analysts, Product teams and senior stakeholders to understand requirements and translate them into effective technical solutions.- Implement testing, validation and monitoring to ensure data accuracy, model performance and solution reliability.- Optimise data processing, storage and AI workloads for performance, scalability and efficiency.- Produce clear ...

Snowflake including legacy EDW estates (e.g., Teradata, SQL Server), data lakes/lakehouses, and integration platforms covering migration assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context ...

service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control ...

modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

modern data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

file-based interfaces and approved integration tools. Assess the upstream and downstream impact of changes to systems, processes, data structures and interfaces. Develop monitoring, validation, alerting and reconciliation controls that identify integration failures and data-quality issues. Investigate incidents, complete root-cause analysis and implement sustainable fixes. Replace manual extracts ...

testable code and assists in peer code reviews. Supports the setup of automated testing and observability within CI/CD pipelines. Contributes to the validation and tuning of models to ensure performance and data quality, adhering to AI fairness and explainability principles. Participates in the refinement of AI/ ...

semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control practices. Essential consulting skills Our clients look to us for more than technical ...

Power Automate. Strong knowledge of relational database principles, data modelling and data warehousing. Experience of working with large, complex datasets and applying robust validation and reconciliation controls. Ability to interpret complex business requirements and translate them into sustainable technical solutions. Ability to present complex data and technical processes ...

Salesforce platform structure: the data model (objects, fields, relationships), security and sharing model (profiles, permission sets, roles, sharing rules), declarative automation (Flow, validation rules) and custom development (Apex, Lightning Web Components). Proven ownership of the Salesforce release lifecycle: sandbox and environment strategy, source control, change sets and metadata deployments ...

solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. ...

solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. ...

internal and external sources including databases, APIs, and streaming platforms into centralized data repositories and data warehouses. Ensure data quality and consistency by implementing validation checks, data profiling, and error handling mechanisms. Optimize data pipelines and processing algorithms for performance, reliability, and scalability to handle growing data volumes and user ...