1 to 25 of 2,859 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 ...

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 ...

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 ...

data governance model. Experience implementing and advocating for test‐driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Deep understanding ...

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 ...

timely data availability (batch and near real‐time) to support both operational reporting and advanced analytics. Assure data quality and integrity through automated validation, monitoring, and issue management across the full data lifecycle. Own platform reliability, performance, and cost management, including capacity planning and optimisation of storage/compute. Establish ...

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 ...

/ELT processes to ingest, transform, and publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake ...

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 ...

classification schemas, taxonomy, and metadata models. Support data owners and stewards in cataloguing and tagging data assets. Run data scans, quality checks, and lineage validation tasks. Produce and maintain operational runbooks, configuration documentation, and governance processes. Create user guides for end users, compliance officers, and IT support teams. Document incident ...

lead simplification of legacy ingestion paths. Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse. Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. Apply AI to accelerate the team's own work (e.g. ...

platforms with this role. Lead data orchestration, transformation and production engineering design and optimise automated ETL/ELT pipelines covering ingestion, wrangling, cleansing, transformation, validation, modelling and delivery, reducing unnecessary manual intervention and improving the flow of data from source to insight. Drive automation and measurable productivity improvement across ...

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 ...

datasets using SQL and, ideally, Python. Support deployment pipelines and version control practices. Troubleshoot data and reporting issues to ensure timely resolution. Implement data validation, cleansing and reconciliation processes. Maintain and enhance existing Power BI assets in line with evolving business needs. Establish data quality checks and monitoring mechanisms. ...

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 ...

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 ...