1 to 25 of 1,540 Permanent 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 ...

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 ...

engineering principles. AI-Native Mindset Uses AI tools and agentic workflows to improve productivity, quality and delivery outcomes. Applies sound engineering judgement, governance and validation when working with AI-generated outputs. Comfortable using AI to accelerate software development while maintaining accountability and control. Converts complex business requirements into clear, testable ...

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 ...

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 ...

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 ...

driven components (e.g. Kafka). Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads.Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. ...

Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment. Strong SQL querying skills (analysis, reconciliation, data validation) with experience working withSQL Server and Snowflake(or equivalent modern cloud data warehouse plus willingness to ramp up quickly). Strong requirements engineering capability: elicitation ...

adoption and engineering approaches while collaborating closely with Engineering and Data Product teams Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption Experience identifying opportunities to improve operational efficiency through technology and automation Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering ...

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 ...

ability to explain business and technical concepts clearly.* Understanding of insurance business processes, organisational structures and capability models.* Proficiency in Excel for analysis, validation and requirements support, and experience working with delivery tools such as Azure DevOps or equivalent.Desirable:* Previous experience of Claims processes, Claims operations ...

functions, variables, data structures, control flow, unit testing, integration testing and -debugging. Ability to work with data and apply basic data quality checks, validation and transformation. Ability to produce clear, structured and concise written documentation for technical and non-technical audiences. Additional essential criteria Attention to detail and a commitment ...

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 ...

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 ...

mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical Skills Strong proficiency in Python (data analysis/automation for metadata extraction, validation scripts, rule checks). Hands‐on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet. Advanced ...

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 ...

using Azure Databricks. Work with stakeholders across the business to understand data requirements and deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support ...

coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits Time Off: 25 days ...

MiFID Reporting for LME Submitting other regulation reports for LME and LME Clear Develop and maintain SQL queries to support reconciliations, investigations and reporting validation activities Analyse large regulatory reporting datasets to identify reporting exceptions, data quality issues and control weaknesses Utilise Python and other analytical tools to automate manual ...

through to consumption. Analytical engineering depth: translates business requirements into maintainable data models and performant transformation logic. Data quality discipline: designs for validation, testability, lineage awareness, and predictable operational behaviour. Collaboration and influence: works effectively across engineering, analytics, and business stakeholders; drives clear technical decisions. Senior execution: balances speed ...

improvements leveraging system capabilities and industry best practice Data Management & Governance - Maintain high standards of data integrity across HR systems Develop and implement data validation, reconciliation and quality controls Support compliance with GDPR and internal data governance requirements Reporting & Analytics - Produce and maintain Workday reports, dashboards and analytics ...