1 to 25 of 2,074 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 ...

projects and platforms. Liaise with senior business representatives to plan, coordinate, and facilitate testing, including User Acceptance Testing Perform API testing using Postman, including validation of request/response structures and data integrity. Write and execute SQL queries to validate backend proceses and perform data verification. Collaborate closely with Developers ...

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 ...

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 ...

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 ...

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 ...

PySpark and T-SQL for Lakehouse and Warehouse workloads, including fact and dimension models in the enterprise data warehouse. Implement data quality rules and validation pipelines, and help investigate and fix data issues found by DQ checks and reconciliations. Work through the team’s engineering workflow: Git-based development ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

operational, statutory, financial and research-related decision-making and support optimisation, service redesign and benefit realisation activity. Take responsibility for the design integrity, governance, validation and optimisation of reporting content across Epic reporting tools and associated business intelligence platforms, including Clarity, Caboodle, Cogito SQL, Reporting Workbench, Radar, SlicerDicer, QlikView ...

operational, statutory, financial and research-related decision-making and support optimisation, service redesign and benefit realisation activity. Take responsibility for the design integrity, governance, validation and optimisation of reporting content across Epic reporting tools and associated business intelligence platforms, including Clarity, Caboodle, Cogito SQL, Reporting Workbench, Radar, SlicerDicer, QlikView ...

decisions. Develop and maintain interactive Power BI dashboards, reports and monitoring tools aligned with business KPIs. Write complex SQL queries for data extraction, transformation, validation and analysis. Create scalable data models and support the development of efficient reporting and ETL processes. Ensure the quality, reliability, consistency and governance of data ...