51 to 75 of 161 Metadata Jobs in the UK excluding London

based environments, especially with multi-tenant systems. An interest in or knowledge of video streaming technology, digital broadcast, or related areas (e.g. video encoding, metadata management, CDNs). Additional Details Office location: Central London (with future shift work as the team grows to provide 24/7 support). Participation More ❯

e.g., DAMA, DCAM, CDMC). Significant experience leading data governance initiatives within public sector or geospatial organizations. Deep knowledge of data management, data quality, metadata, and regulatory compliance practices. Strategic Leadership & Business Change: Ability to align data governance practices with strategic objectives and effectively articulate the business case for investment. More ❯

work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on experience in system design, application development, testing, and operational stability. 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 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 ❯

. 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 ❯

Perform comprehensive data analysis, validation, and integrity checks. Data Governance & Documentation Ensure compliance with data governance standards and regulatory requirements. Maintain accurate data dictionaries, metadata , and workflow documentation for transparency and team collaboration. Optimization & Best Practices Optimize dashboard and data pipeline performance through best practices in data visualization and coding … environments . Familiarity with internal audit processes , risk management , or compliance frameworks . Understanding of data lineage , data governance tools , and best practices in metadata management . Why Join Us? Work on impactful projects that support critical audit and risk operations Be part of a collaborative, expert-driven environment Access 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Elections, Sports data and stats, Live pages for breaking news, and big events. The UCC team will bring together much of our content and metadata across the BBC, so that we can expose content via a single API, using AWS, Node & Typescript, with a consistent schema. This is an opportunity 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 ❯

automated workflows for moving and processing data. Hands on experience working with AWS platforms. Prior working experience with Snowflake. Familiarity with Data governance, including metadata management, data quality, and lineage tracking. Data Engineer Key details Up to £50k salary. Hybrid working. Belfast office. If this Data Engineer role sounds like 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 ❯