76 to 100 of 283 Metadata Jobs in the UK

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

and deployment of advanced computational pipelines aimed at optimizing data analysis in this critical collaboration. This includes the collection and integration of pseudonymised clinical metadata and genomic experimental data, ensuring rigorous data management and compliance with ethical standards. The successful candidate will leverage the established infrastructures of the University Research More ❯

Extensive knowledge of working with data protection and GDPR compliance Comprehensive of understanding of data management and governance practices including data quality, data security, metadata, master data manager Understanding of technical tools to support data governance practices, e.g. MS Purview Leading and managing a team including work prioritisation and task More ❯

high volume database architectures • Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's • Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) • Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems • Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced More ❯

high volume database architectures • Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's • Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) • Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems • Experienced More ❯

and solution documentation for stakeholder review. Solution Configuration & Implementation Support Support the configuration of the CLM systems based on gathered requirements, including workflows, templates, metadata, and reporting dashboards. Partner with technical teams to oversee and validate customizations, integrations, and data migrations as part of the CLM implementation. Manage and support More ❯

into data integrations and model designs. Develop models on the Oracle EPBCS platform including prototype builds, testing and business integration. Drive development of model metadata, calculations/rules, forms, dashboards, and analytical solutions. Build data integrations to move data into, out of, and between models. Drive training, knowledge transfer and More ❯

. Extensive knowledge of working with data protection and GDPR compliance. Comprehensive understanding of data management and governance practices including data quality, data security, metadata, master data management. Understanding of technical tools to support data governance practices, e.g. MS Purview. Leading and managing a team including work prioritisation and task More ❯

role requires strong communication skills to collaborate effectively with both technical and non-technical stakeholders. You will be responsible for data governance, data modelling, metadata management, and ensuring compliance with data standards. Key Responsibilities: 1. Data Architecture & Engineering Design and implement scalable data architectures that align with business objectives. Work … Governance & Compliance Ensure adherence to data governance policies and regulatory requirements. Monitor and maintain compliance with data standards and security measures. Develop and manage metadata repositories for accurate data tracking and integration. Support data assurance processes and provide recommendations for compliance improvements. 3. Data Analysis & Communication Conduct data profiling and … Strong proficiency in Java, SQL, Python, SparkSQL, and PySpark. Experience with Microsoft Power Platform (PowerApps, Power Automate, etc.). Good understanding of data governance, metadata management, and compliance frameworks. Ability to communicate effectively with both technical and non-technical stakeholders. Experience in data modelling, data profiling, and source system analysis. More ❯

is essential. 3+ years of experience managing resources and delivering projects. Skills & Expertise: Business data modelling & gap analysis IT testing & database reporting Workflow management & metadata management Strong analytical and problem-solving skills Expertise in JD Edwards (Advanced level) This is an excellent opportunity for a finance professional with systems expertise More ❯

practices (e.g. DAMA, DCAM, CDMC). Experience leading data governance initiatives within a public sector or geospatial organisation. Knowledge of data management, data quality, metadata, and regulatory compliance. ?2. Strategic Leadership & Business Change Ability to align data governance with UKHOs strategic objectives and articulate the business case for investment. Working More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyze and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

ensure successful handover to internal teams. Design and implement ETL/ELT pipelines for cloud data warehouse solutions. Build and maintain data dictionaries and metadata management systems . Analyse and cleanse data using a range of tools and techniques. Manage and process structured and semi-structured data formats such as More ❯

Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in Agile data definition scrums. Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools Understanding of, or familiarity with, Data Mesh approaches (as distinct from Data Fabric or Data Platform Experience working More ❯

determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work with the data team to Incorporate other omics into the prediction models to improve accuracy; Work with the engineering team to More ❯

determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work with the data team to Incorporate other omics into the prediction models to improve accuracy; Work with the engineering team to More ❯

specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and More ❯

enhancing operational efficiency and reliability. Data Governance and Quality: Embed governance, security, and quality practices. Define access control, data lineage, and compliance standards. Promote metadata management and enforce standards to ensure data trustworthiness. Stakeholder Engagement: Collaborate with leadership and product owners to align data priorities and maximize value from data More ❯

governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D More ❯

will be responsible for designing and managing GPA's enterprise data models to support design and deployment of business systems: Design data models and metadata systems Help Chief Data Architects to interpret an organisation's needs Provide oversight and advice to other data architects who are designing and producing data More ❯

GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and More ❯

management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and More ❯