26 to 50 of 3,522 Validation Jobs in England

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability, cost efficiency, and speed. Implement automated testing, CI/CD patterns ...

solutions using Salesforce Sales Cloud, Service Cloud, Revenue Cloud, and Salesforce Data Cloud. Configure and customise Salesforce using Apex, Lightning Web Components (LWC), Flows, Validation Rules, Process Automation, and Custom Metadata. Develop scalable integrations between Salesforce and other platforms but not limited to, Informatica, ERP systems, MDM platforms, external applications ...

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. Agile delivery environments. Essential consulting skills Our clients look ...

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. Agile delivery environments. Essential consulting skills Our clients look ...

Planning & Design: Develop detailed test plans and cases for data migration, transformation, and validation. Define acceptance criteria for migrated datasets and analytical workflows. Data Validation: Perform data reconciliation between SAS 9.4 and SAS Viya 4 environments. Validate ETL processes, data pipelines, and reporting outputs for accuracy and completeness. Automation & Tools … Implement automated data validation scripts using SQL, Python, or SAS. Support integration of automated tests into CI/CD pipelines. Defect Management: Log, track, and manage defects related to data inconsistencies or migration issues. Collaborate with Data Engineers and developers to resolve issues promptly. Compliance & Governance: Ensure all testing activities ...

data migration, transformation and validation. Define acceptance criteria for migrated datasets and analytical workflows. Ensure test coverage aligns with business and technical requirements. Data Validation & Reconciliation Perform data reconciliation between SAS 9.4 and SAS Viya 4 environments. Validate ETL processes, data pipelines and reporting outputs. Identify data discrepancies and ensure … migrated data is accurate, complete and fit for purpose. Test Automation & Scripting Develop automated data validation scripts using SQL, Python and/or SAS . Support the integration of automated testing into CI/CD pipelines . Identify opportunities to improve testing efficiency and coverage through automation. Defect Management ...

principles for clear and accurate visualisations. Willingness to learn from peers : Open to feedback from senior team members to improve visualisations. Data Quality Assurance, Validation, and Linkage Data quality assurance : Familiarity with data quality assessment techniques. Data validation and linkage : Experience performing basic data validation checks and combining data from ...

PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake … DevOps, GitHub Actions, YAML pipelines. Scripting – Python, PowerShell. Monitoring – Azure Monitor, Log Analytics, Alerts, Application Insights. SQL & Data Warehousing – SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning. Support & Incident Management – Strong troubleshooting ...

production-grade technical infrastructure to support analytical and operational processes Automate and improve workflows across data processing, data management, analysis and reporting Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications Contribute to good engineering practice through documentation, code review, version control … continuous improvement of technical standards Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications Identify opportunities to improve data management, engineering processes and delivery approaches across the LCP Health team Support cloud-based architecture, particularly in Azure, including performance optimisation, resilience ...

production-grade technical infrastructure to support analytical and operational processes Automate and improve workflows across data processing, data management, analysis and reporting Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications Contribute to good engineering practice through documentation, code review, version control … continuous improvement of technical standards Implement testing, validation and monitoring processes to improve the robustness, accuracy and maintainability of pipelines and applications Identify opportunities to improve data management, engineering processes and delivery approaches across the LCP Health team Support cloud-based architecture, particularly in Azure, including performance optimisation, resilience ...

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 ...

delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation). Key Responsibilities Technical delivery Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean ...

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

system dependencies. Strong experience collaborating directly with data engineers, BI developers, solution architects, and business SMEs. Good understanding of data quality principles, data validation, reconciliation processes, and writing technical acceptance criteria. Outstanding workshop facilitation and stakeholder management skills, particularly when navigating ambiguous, unclear, or conflicting data definitions. Experience working across ...

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 ...

Proven experience in Quality Engineering - Automation Testing using Playwright (Technical). Good understanding of RESTful APIs, HTTP methods, request/response structures, and API validation techniques. Experience working with CI/CD tools (e.g., Jenkins, Azure DevOps, GitLab CI, or similar) for automated test execution. Familiarity with version control systems ...

Transformation & Modelling Build and maintain transformation layers using SQL and DBT. Design reusable and scalable data models following engineering best practices. Implement testing and validation to ensure high levels of data quality. Optimise transformation performance and maintainability. Platform Automation & Orchestration Develop and maintain automated workflows using Windmill. Schedule, orchestrate ...

. Support schema evolution, data quality and data integrity across distributed platforms. Integrate data platforms with relational and NoSQL databases. Develop automated testing and validation for platform services and data processing components. Implement and maintain CI/CD pipelines for data platform workloads. Use Infrastructure as Code to create repeatable ...

assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/agents for: CI/CD execution Code validation Incident resolution Key Tools and Technologies DevOps Tools: GitLab, Jenkins, Ansible, Terraform Cloud: AWS Containers & Orchestration: Docker, Kubernetes, EKS, AKS Monitoring: DataDog Scripting: Python, Bash, Shell ...

line with agreed engineering standards. The role involves building and supporting data tables, models and data products based on defined requirements, while performing data validation and quality checks to ensure outputs are accurate and complete. You will investigate and resolve data issues and pipeline failures, escalating more complex problems when ...

Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment. Strong SQL querying skills (analysis, reconciliation, data validation) with experience working withSQL Server and Snowflake(or equivalent modern cloud data warehouse plus willingness to ramp up quickly). Strong requirements engineering capability: elicitation ...

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 ...