1 to 25 of 2,367 Validation Jobs in London

remotely (UK). Join us as a Senior IT Quality & CSV Specialist. As Senior IT Quality & CSV Specialist you will provide independent quality and validation oversight for GxP computerised systems and complex global IT projects within a pharmaceutical environment. You will work with project teams, system owners, IT teams … regulated business functions to ensure computer system validation activities are risk-based, compliant with global regulatory requirements, and inspection-ready. What you'll do: Provide quality oversight of GxP computerised systems throughout the full validation lifecycle. Review validation documentation including Validation Plans, Validation Reports, requirements, traceability matrices, design documentation, test ...

Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making. Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets. Collaborate with project teams, business stakeholders, analysts, and digital specialists to define ...

structures and naming conventions.Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases.Respond to pipeline failures, data validation issues, and operational alerts.Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards.Validate data outputs with business ...

naming conventions.* Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases.* Respond to pipeline failures, data validation issues, and operational alerts.* Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards.* Validate data outputs ...

naming conventions. Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases. Respond to pipeline failures, data validation issues, and operational alerts. Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards. Validate data outputs ...

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 ...

dashboards and data visualisations that give investment professionals ready access to decision-useful information.Apply sound model governance practices, including clear documentation, version control and validation protocols.Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis ...

data visualisations that give investment professionals ready access to decision‐useful information. Apply sound model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis ...

identify trends, patterns and key findings Build scalable, reliable and fit-for-purpose data models, datasets and reporting solutions Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities Support ...

training phrases, utterance taxonomies, annotation standards, speech adaptation strategies, and routing logic to improve conversational experiences.Design, execute, and maintain evaluation datasets, test suites, and validation frameworks covering standard use cases, edge cases, adversarial inputs, out-of-domain scenarios, and high-risk customer interactions.Assess deterministic NLU, generative AI, hybrid conversational architectures ...

data visualisations that give investment professionals ready access to decision‐useful information. Apply sound model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis ...

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 ...

performance reports, risk metrics and strategy dashboards Design and maintain dashboards and data visualisations Apply model governance practices, including documentation, version control and validation protocols Evaluate new technologies and methodologies, including artificial intelligence and machine learning Support product development and market research through data analysis and quantitative modelling Collaborate with ...

solutions using Python, SQL and modern data engineering frameworks Apply infrastructure-as-code and automation to deploy and manage data platforms Build data quality, validation, monitoring and observability into engineering solutions Address security, governance and data protection requirements throughout solution design and delivery Collaborate with architects, cloud engineers, security specialists ...

Platform Write and optimise SQL queries against large-scale cloud datasets. Collaborate with engineering teams to create curated reporting-ready data products. Support data validation, reconciliation and quality assurance activities. Contribute to the development of scalable analytics solutions within a modern data platform environment. Stakeholder Collaboration Gather, analyse and document ...

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 ...

service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control ...

data to identify trends, patterns and key findingsBuild scalable, reliable and fit-for-purpose data models, datasets and reporting solutionsConduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilitiesSupport ...

scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. ...

PySpark and Spark SQL, with Delta Lake as the storage foundation Tuning Databricks workloads for performance and cost, and embedding quality checks and validation into every pipeline Implementing governance in practice: Unity Catalog, Azure Purview, data lineage, metadata and monitoring Automating deployments through CI/CD in Azure DevOps ...

Senior Data Business Analyst/Data Business Analyst Demonstrable delivery across complex data, reporting or analytics programmes Strong SQL skills for analysis, profiling and validation Experience with modern data platforms such as Azure Databricks, Snowflake or Microsoft Fabric Good understanding of data governance, data quality, data modelling, data lineage ...

processes, deployment automation, and version-controlled engineering practices. Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions. Implement monitoring, validation, data quality controls, and governance processes. Support the integration of machine learning outputs into production environments. Mentor colleagues and contribute to engineering standards, documentation ...

Design and develop a CMDB management application. Build intuitive interfaces for Configuration Item (CI) management. Develop workflows supporting the full CI lifecycle. Implement data validation and integrity controls. Integrate multiple data sources through APIs and connectors. Automate data collection and synchronisation processes. CMDB & Data Management Define and maintain CMDB data ...

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 ...

BRDs, user stories, process maps, requirements specifications and acceptance criteria. Develop test plans and scripts, coordinate UAT, manage defects and support data migration and validation activities. Support cutover, go-live and hypercare, ensuring Finance processes and systems are fully embedded. Act as the key link between Finance, AP, Technology, Data ...