1 to 25 of 79 Permanent Metadata Jobs in the UK excluding London

content design through the creation of prototypes and content plans. Explain how the pattern choice or need for a new pattern, publishing approach and metadata will shape how the content will be published and managed. Stakeholder relationship management Negotiate with stakeholders and influence accessibility decisions, dealing with challenging situations and more »

across various data warehouses to agreed tight timelines and budget. This includes people, process and technology. You will support the design data models and metadata systems ensuring artifacts are created, managed and maintained. You will be responsible for defining data architectural solutions that are in line with the long-term … working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. Desired exposure to modern metadata management, ontologies and knowledge graphs. As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success and innovation. We want more »

project on-time and under budget. Own the low level design including any design documents, IP addressing schema, BGP AS numbers and other network metadata that help deliver the network requirements. Conduct periodic meetings with customers/stakeholders/vendors to discuss technical requirements and related action items. You will … key responsibilities): Create post-sales design documentation including but not limited to low level documents, per site migration plans, Microsoft Visio network diagrams, network metadata such as IP addressing schema and BGP AS numbers. Implement and migrate complex solutions for this global programme. Complex solutions consist of multi-product services. more »

in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge more »

enable better automation, integrate with EMBL-EBIs high performance computing and storage resources and develop/implement new functionality, such as extraction of structured metadata from freeform text through LLMs. A key focus of the role will be developing and integrating systems for interactive visualisation of biological images: we aim more »

Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run and maintain a cost-effective Azure Cloud reporting infrastructure Work closely with security, data protection and compliance teams to ensure more »

system architecture, end-to-end deployment and maintenance of IPTV network Installation and configuration of IPTV headend equipment including Luminato Manage download of XML Metadata for IPTV EPG platforms Configure and Manage channels for IPTV streams in hospitality TV Installation and configuration of Philips CMD server Installation of network switches more »

functionality. SharePoint API: Utilize SharePoint API for operations such as GET, POST, etc., to interact with SharePoint lists and libraries. Content Services: Understand Managed Metadata, Site Content Types, Site Columns, indexes, etc. Customization: Familiarity with SharePoint Framework (SPFx) for client-side code customization would be beneficial with experience in developing more »

and moral dilemmas in data-related decisions. What we need from you: Knowledge of key Data Management tools, practices and processes, particularly Collibra and metadata management Understanding of data risks and controls and the risk management framework Understanding of the principles of data classification, data quality security, and retention Working more »

opportunities for process improvements and provide recommendations to enhance data governance initiatives. Stay updated with industry trends and best practices in data governance and metadata management. Analyse information security risks and address issues of non-compliance. Required Skills & Qualifications: 2+ years' experience with Microsoft Purview or previous iterations live Azure more »

have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »

solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »

Architect in a blue-chip Financial environment. Good communication skills, Stakeholder Management. Experience of defining the data architecture framework, standards and principals, including modelling, metadata, security, reference data. Hands on experience in ETL, ELT patterns Experience in implementing Data Lineage Defining reference architecture & data flows. If you are looking for more »

Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning more »

test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse issues promptly. compliance with standards and controls. user functionality and productivity with new solutions. processes to standardise their data warehouse environment. more »

quality assurance checks. the collaboration with Enterprise Architecture team to design and develop solutions within Collibra to address data governance challenges, including data lineage, metadata management, data quality, and data privacy. What you'll need: experience of Information Governance frameworks. overseeing the entire lifecycle of Collibra implementation, from initial setup more »

data engineering working with multi-TB scale data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Technical Skills – Deep hands on experience with the following data technologies: Stack including, Azure Data more »

Minimum 2 years' experience with Collibra Data Catalog In-depth knowledge of data governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software more »

Insurance Market, particularly Lloyd's Experience building and deploying machine learning pipelines into data engineering pipelines. Experience building Azure DevOps Pipelines. Experience of using metadata driven data engineering approaches for ingestion and transformations within data pipelines. more »

high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »

applications to support financial planning and reporting. - Staying up-to-date with emerging finance technology trends. - Testing and debugging application processes. - Ensuring data and metadata accuracy across finance applications. - Troubleshooting complex issues and providing guidance to end users. - Integrating technology solutions with other organizational systems. - Keeping applications up-to-date more »

of successfully executing projects across diverse business sectors, stakeholder dynamics, procedural intricacies, and technological hurdles. Expertise in business analysis, data management encompassing quality assurance, metadata oversight, data structuring, and governance. Proficiency in SAS or Python to extract insights and drive informed decision-making. Familiarity with AWS. Exceptional proficiency in both more »

Creating data models and overseeing the implementation of changes to address evolving business needs. Providing leadership in evaluating and implementing master data management and metadata management solutions. Collaborating with IT operations and delivery teams, producing essential data architecture artifacts. Your responsibilities will also involve: Defining, implementing, and governing data architecture … practices and standards. Creating and managing data models, ensuring alignment with business solutions. Serving as an expert in master data management and metadata management. Developing strategic roadmaps aligned with business and technology goals. Identifying and leveraging business opportunities through innovative data solutions. Keeping abreast of industry trends and regulations to more »

Architect delivers the vision for the organisation as set by the chief data architect. At this role level, you will: 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 »

anomalies within the data, leveraging your expertise to enhance decision-making processes and optimise the value derived from the data. Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package more »