1 to 25 of 97 Validation Jobs in West Yorkshire

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 ...

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 ...

Develop semantic data layers that support analytics, operational workflows, automation, and machine learning use cases . Establish and enforce strong data quality practices through validation, lineage, monitoring, and governance frameworks. Monitor and optimize pipeline performance for scalability, reliability, cost efficiency, and processing speed . Implement automated testing, CI/ ...

Product teams. Managing multiple workstreams while ensuring delivery aligns to wider programme objectives. Defining governance, data quality and best practice standards. Supporting testing, validation and go-live readiness of analytical solutions. Contributing to pre-sales activities, solution design and client growth opportunities. Benefits Performance bonus. Private healthcare. Generous pension contribution. ...

modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power BI reporting and analytics. Putting data quality, validation and reconciliation processes in place so the numbers can be trusted. Monitoring, troubleshooting and keeping the platform fast, reliable and available. Configuring and supporting master ...

reporting standards, systems, and processes. Key Responsibilities Develop and manage an annual Business Intelligence workplan, ensuring reporting services meet business requirements. Oversee the production, validation, quality assurance, and governance of management information and performance reporting. Lead the design, maintenance, and continual improvement of reporting solutions, dashboards, and analytics tools. Manage ...

data accuracy and business value. Technical Knowledge & Tools : Power BI or similar reporting and visualisation tools. Data warehouses, structured data models and data quality validation; Snowflake experience would be beneficial. Excel for analysis, modelling or data validation. Awareness of data governance, access controls and responsible data handling. Exposure to Python ...

GitHub Enterprise, Terraform, Jira, Confluence) Own and manage the backlog refinement process, ensuring priorities align with business value and technical feasibility Support UAT and validation activities, ensuring delivered solutions meet functional and non-functional requirements Identify opportunities to automate, optimise, and drive continuous improvement across systems and processes. Ensure adherence ...

Practical experience using transformation tools (e.g. Dataform) and version control workflows (Git, Jenkins) to deploy maintainable code. Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity. Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets. Stakeholder ...

with HR, Finance and IT teams to gather and translate business requirements Supporting system configuration, business process design and testing Assisting with data migration, validation and data quality activities Developing and maintaining reports, dashboards and analytics Supporting security, governance and access control processes Working with implementation partners on integrations ...

data visualisation tools such as Microsoft Power BI. Good knowledge of Microsoft Office applications including Teams, Outlook, Word and PowerPoint. Understanding of data cleansing, validation and reporting techniques. Qualifications and experience required A-Level Mathematics (Grade 4 or above) or equivalent. GCSE English (Grade 4 or above) or equivalent. Demonstrable ...

Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code validation or documentation. Youll have the opportunity to develop that experience as AI becomes more integrated into the wider data and technology environment. Package and working ...

effectiveness of business function RCSAs and associated control environments. Track assurance actions through to satisfactory completion. Contribute to deep-dive reviews and independent validation activities as agreed by the Chief Risk Officer. About you - and the value you’ll bring to our team Strong analytical and problem-solving skills. Advanced ...

practices. Structure work so engineers and agents can deliver effectively together. Increase the proportion of development activity that can be safely automated. Establish automated validation and guardrails for AI-generated changes. Measure AI adoption through improvements in throughput, quality, and engineering capacity. Delivery, Quality & Operations Own end-to-end delivery ...

epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions. Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls. Transforming and harmonising healthcare data into common data models such as OMOP and FHIR to support research and analytical use cases. Creating ...

epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions. Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls. Transforming and harmonising healthcare data into common data models such as OMOP and FHIR to support research and analytical use cases. Creating ...

productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...

assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document ...

GitHub Copilot to ship production code faster while maintaining exceptional quality. Responsibilities Implement team-level standards for AI-augmented development, utilizing prompt engineering and validation frameworks to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist ...

other agreed contractual or quality improvement requirements Develop searches and reports to identify eligible patient cohorts and monitor progress against agreed priorities Support validation of reported activity where data quality concerns are identified Highlight data gaps inconsistencies and risks that may affect performance reporting or patient identification Provide clear information ...

Engineer With Palantir Foundry Experience. Job Description:- Responsibilities Develop reusable transformations and data models, with clear definitions, identifiers, reporting periods and version information. Implement validation, merge and correction rules, reliable refresh, and safe recovery or reruns after a failure. Integrate approved outputs with reporting and publication services, preserving access controls ...

Infrastructure or Web application penetration testing Cloud security assessments Producing clear, high-quality technical reports Presenting findings and remediation advice to clients Supporting vulnerability validation and re-testing Contributing to internal tooling, research and knowledge sharing What we're looking for Essential Commercial penetration testing experience within a consultancy ...

reporting. Create and support SDTM and ADaM datasets. Produce Tables, Figures, and Listings (TFLs) used in clinical study reporting. Perform quality control and validation of programming outputs. Produce Define XML/PDFs, Analysis Results Metadata (ARM), annotated CRFs and Reviews Guides to support SDTMs and ADaMs. Follow CDISC standards, regulatory ...

GitHub Copilot to ship production code faster while maintaining exceptional quality. Implement team-level standards for AI-augmented development, utilizing prompt engineering and validation frameworks to increase velocity without sacrificing code quality. Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking ...