1 to 25 of 1,202 Validation Jobs in the UK

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 ...

platform work. We are looking for a staff engineer with strong system software expertise, extensive system‐wide knowledge, and a deep passion for quality, validation, and testing. This person will develop the process for validating complex firmware and platform software across the full system. Validation covers early pre‐silicon environments … silicon bring‐up, platform integration, release readiness, and customer‐facing use cases. They will also help grow a validation culture that detects issues early, produces clear evidence, and supports confident delivery. Roles and Responsibilities Lead the end‐to‐end validation and product quality assurance strategy for embedded software, firmware ...

blockers early and escalate where necessary · Coordinate cross-team dependencies and resolve conflicts · Maintain RAID logs and mitigation strategies Quality Assurance · Ensure data quality, validation, and reconciliation processes are in place · Support testing strategies (unit, integration, UAT) · Ensure compliance with data standards and controls Key Skills & Experience Essential · Delivery ...

blockers early and escalate where necessary Coordinate cross-team dependencies and resolve conflicts Maintain RAID logs and mitigation strategies Quality Assurance Ensure data quality, validation, and reconciliation processes are in place Support testing strategies (unit, integration, UAT) Ensure compliance with data standards and controls Typical Qualifications Degree in Computer Science ...

concepts. Design and deploy AI-powered applications to improve sales productivity, automate workflows, and enhance decision-making. Support the migration to Epicor, including data validation, reporting, and process optimisation. Support the implementation and development of a modern data platform, including Snowflake. Integrate data from multiple business systems to deliver trusted ...

complete, accurate, consistent and fit for purpose. Support the development and monitoring of data quality indicators and performance measures, applying appropriate analytical, audit and validation methodologies. Investigate and help resolve complex data quality issues through root cause analysis and collaboration with stakeholders across the Trust. Promote awareness of data quality ...

warehousing concepts Experience gathering and documenting complex business and technical requirements. Strong stakeholder management and workshop facilitation skills. Experience supporting testing, UAT, and data validation activities. Excellent communication and documentation skills. Desirable Skills SQL and data analysis experience. Exposure to actuarial, underwriting, or risk data. Experience with Azure Data Platform ...

data loads. Create data transformation and cleansing processes using PySpark and Spark DataFrames. Develop Python-based utilities and automation scripts to support migration and validation activities. Design and optimise data models, SQL queries, stored procedures and analytical views within Azure Synapse Analytics. Manage data ingestion, transformation and storage across Azure ...

Visio. Desirable experience Understanding of networking, containers or CI/CD pipelines. Scripting experience with Python, Bash or PowerShell. Infrastructure as Code (IaC) validation experience using Terraform or Ansible. ISTQB certification. Additional technical certifications If you'd like to discuss this role in more detail, please send your updated ...

Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong data analysis, profiling and insight delivery Cloud & Platforms Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda ...

processes, and automated testing for data.- Designed data models (star schema, transformed delta tables, data marts) for analytics and BI.- Ensured data quality through validation, profiling, reconciliation, and automated tests.- Improved or restructured existing reporting environments to make them scalable, governed, and self-service friendly.- Provided guidance, reviewed code, coached ...

including ability to write complex stored procedures, Table Functions and HANA views using SQL Administer data models in SAP HANA, including setting of information validation rules, managing schemas, the importing/exporting and transporting of data models. Apply advanced data modelling techniques, including currency conversion, variables and input parameters. Implement ...

business and technical stakeholders to elicit, analyse, prioritise, and document business requirements. Own the end-to-end requirements lifecycle, including workshops, process mapping, and validation sessions. Capture and document As-Is and To-Be processes using industry-standard techniques (e.g. BPMN, UML) and perform gap analysis. Produce clear and concise ...

Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery ...

outputs are accurate, reliable, and aligned to business needs. Work with data sourced from enterprise data platforms and cloud-based data environments. Support data validation, reconciliation, and quality assurance activities. Collaborate with data engineering and architecture teams to understand data structures and reporting requirements. Translate complex datasets into clear ...

processes and improve data efficiency. Collaborate with planners, cost engineers, project managers and client stakeholders to deliver accurate and timely reporting. Assist with data validation, cleansing and quality assurance activities. Contribute to the continuous improvement of reporting standards, data governance and Business Intelligence capabilities. Support the wider Project Controls function ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...

Review and evaluate AI-generated outputs for quality, accuracy, and consistency. Identify, document, and report bugs, errors, and performance issues. Support the testing and validation of AI models and applications. Document AI workflows, testing procedures, and project updates. Collaborate with developers, data analysts, and project managers on AI initiatives. Conduct ...

data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role‐based security Ensuring compliance ...

MI. Data governance: Implement policies and controls for data quality, develop and maintain step-by-step documentation of key weekly and monthly processes, embed validation and exception reporting so errors are identified and resolved promptly. Stakeholder management: Build strong relationships across group, including Finance, Compliance, Operations, Insurer Relations and business ...

clean taxonomy and stable interfaces/contracts exist for core datasets (definitions, naming, ownership, consumption patterns). Incidents and manual fixes drop through better validation, monitoring/alerts, and clear ownership. Strong data engineering practices are the default: testing, code review, documentation, and operational ownership. A sustainable team cadence ...

iteration to acceptance, including data-driven and semantic layer solutions. Conduct full technical testing of developed solutions at a unit and system level, including validation of data models and query performance, with appropriate scaling, platform, capacity and load testing. Ensure that adequate security and data protection protocols are incorporated into ...

flow requirements between D365 CE and adjacent systems for the integration and data architecture teams to design and build. Support data migration planning and validation alongside the Delivery Manager, working with data architects to define migration rules, cleansing strategies, and cutover acceptance criteria for all CRM workstreams. Be the primary ...