1 to 25 of 2,056 Permanent Validation Jobs in the UK excluding London

Validation/Quality Assurance Specialist, Pharmaceutical Location: Derby Salary: £30,000-£34,000 depending on experience (plus company bonus) Hours: Monday - Friday, days, 35h per week Russell Taylor is working with a leading pharmaceutical manufacturer (CMO) who are continuing to grow; backed by significant investment, new leadership, and modernised validation … systems and processes, the company is expanding its validation team at this time. The Validation Specialist will play a key role in supporting site validation activities across a range of projects. This is a great opportunity for someone with GMP validation experience looking to build on their existing knowledge within ...

technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB ...

field. Experience, Skills and Competencies Hands-on experience with Data Visualisation tools including PowerBI, Tableau and Excel Dashboarding (mandatory). Strong expertise in Data Validation, Cleansing, Remediation and Transformation to ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation ...

database dependencies, integrations, data flows and migration constraints. Plan and deliver SQL Server and Azure SQL migrations, including schema and data migration. Perform data validation and reconciliation to ensure successful migration outcomes. Troubleshoot and optimise database performance, availability and reliability. Support database stabilisation, remediation and post-migration improvements. Provide database ...

under pressure and meet deadlines. Excellent communication skills with the ability to explain complex analytics to non-technical stakeholders. Strong knowledge of Data Transformation, Validation and Remediation processes. Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Job Info Job Identification 114411 Job Category - Degree ...

Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support the migration and re-platforming of legacy SQL Server data warehouse ...

automation Identify high‐value use cases for machine learning, generative AI, computer vision, natural language processing, optimisation and robotic process automation. Lead the design, validation, deployment and monitoring of models such as propensity, customer segmentation, forecasting, similarity and recommendation, pricing, risk, RFV and sentiment analysis. Develop and govern LLM‐enabled ...

both waterfall and agile delivery models. Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical ...

both waterfall and agile delivery models. Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical ...

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 ...

appropriate for a UK and Ireland financial services environment Analysing data flows, data dependencies and reporting impacts across business systems, supporting data migration, reconciliation, validation and data quality improvement activities Identifying operational risks, control gaps and manual workarounds within current processes, and work with stakeholders to design improved processes with ...

data platforms and pipelines that power AI-driven assessment solutions across Cambridge University Press & Assessment. Working closely with data engineers, machine learning engineers, validation specialists, and business stakeholders, you will ensure that reliable, high-quality, and secure data is available to support the development, deployment, monitoring, and continuous improvement ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...