101 to 125 of 299 Metadata Jobs in the UK

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 ❯

sources. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and 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 ❯

the financial community. Our News Platform aggregates content from Reuters, and thousands of other news providers, augmenting our content with a rich set of metadata and analytics to enable our customers in finding News most relevant to their needs. The News we deliver informs investors, moves markets, and enables companies More ❯

and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and More ❯

Strategy and Execution Perform on-page SEO audits and optimise content to improve rankings and site performance. Implement light technical SEO tasks such as metadata optimisation, internal linking, and monitoring site health. Work closely with the editorial, design and client teams to embed SEO best practices into content production. Stay More ❯

Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring and … Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages … Python, SQL, PowerShell, PySpark, Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data Management. Experience using Azure DevOps to manage tasks and CI/CD deployments within an Agile framework, including More ❯

on experience in the following IDMC modules: - Platform Setup & Configuration - Data Governance & Catalog - Data Ingestion & Replication - Data Integration - Data Quality - Data Profiling - Data Validation - Metadata Command Center Ideal Candidate Profile: - Proven experience delivering Informatica IDMC projects in a contractor capacity - Ability to work independently and hit the ground running with More ❯

on experience in the following IDMC modules: - Platform Setup & Configuration - Data Governance & Catalog - Data Ingestion & Replication - Data Integration - Data Quality - Data Profiling - Data Validation - Metadata Command Center Ideal Candidate Profile: - Proven experience delivering Informatica IDMC projects in a contractor capacity - Ability to work independently and hit the ground running with More ❯

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

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

/EDMCS/ARCS/EPCM/PCMCS/TRCS/NR. Expertise in Oracle EPM cloud functionality such as data management, security, reporting, metadata, forms, task manager, task lists, smart lists, workflows, EPMAutomate, etc. Proficiency in designing and implementing EPM data integration solutions. Good understanding of financial statements and More ❯

environments Strong SQL skills and experience with relational databases Knowledge of CI/CD processes and infrastructure-as-code principles Experience with data cleansing, metadata management, and data dictionaries Familiar with modern data visualisation tools (e.g. QuickSight, Tableau, Looker, QlikSense) Desirable Skills Exposure to large-scale data processing tools (Spark More ❯

Senior Software Engineer who lives and breathes front-end development to join us working with our media client. You will be joining the Content Metadata engineering team to accelerate the development and delivery of the outcomes defined in the Passport Control evolution and the Contributors use case. You will have 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 ❯

digital asset with its highly connective ecosystem, providing full visibility and transforming disorganized workflows into a seamless, searchable database. Its AI engine unlocks robust metadata and intelligence that enables enterprises to boost productivity, automate governance and solve the multibillion- dollar challenge of modern content management. We work alongside Fortune More ❯

digital asset with its highly connective ecosystem, providing full visibility and transforming disorganized workflows into a seamless, searchable database. Its AI engine unlocks robust metadata and intelligence that enables enterprises to boost productivity, automate governance and solve the multibillion- dollar challenge of modern content management. We work alongside Fortune More ❯

quantitative skills (includes the ability to effectively use tools such as Excel) and an ability to analyze, migrate, solve ambiguity and fix inconsistencies of metadata Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on More ❯