76 to 100 of 278 Metadata Jobs in England

and implement data management strategies, policies, and procedures to ensure data integrity, quality, and security. Design and optimize data governance frameworks, including data standards, metadata management, data classification, and data lineage. Assess existing data management processes and systems, identify areas for improvement, and develop strategies for data process optimization. Lead More ❯

Collaborate closely with stakeholders to understand, investigate, and resolve data discrepancies identified. OneStream Configuration: Design, create, and maintain OneStream mapping/transformation rules and metadata/dimension members to facilitate accurate data migration and address data quality issues. OneStream Application Analysis: Analyse existing OneStream application rules to understand data calculation More ❯

analytics and Reporting. Implement data structures using best practices in data modeling, ETL 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 ❯

Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide solution/IP leadership You will lead multiple competencies within data engineering & analytics, guiding More ❯

closely related field; One or more certifications in Oracle EPM Cloud products (EDM, preferable); Minimum 3 years of relevant data management experience (data integrations, metadata, data architecture, data governance, data quality); Previous EDM implementation experience (minimum 2 to 3 implementations, preferable); Experience with Waterfall and Agile methodologies, and hybrid software More ❯

quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. 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 ❯

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and More ❯

Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar 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 ❯

junior members of own team to build capability. Deliver change programmes, driven by business or IT projects, to support data transformation, data structures and metadata for both structured and unstructured data. Deliver projects and mentor juniors Working on a migration project next year Skills & Qualifications Experience being a modern Data More ❯

years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms More ❯

years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms More ❯

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 ❯

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 ❯

measure business impact. You will transform data into actionable information, making it accessible to stakeholders worldwide. Your tasks will include creating datasets, reports, dashboards, metadata modeling, and pipeline monitoring. You will collaborate with internal teams to gather requirements, structure scalable data solutions, and understand key datasets. You will also drive More ❯

models for biological age determination and disease stratification based on epigenetic data; Work with AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions); Contribute to 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 ❯

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 ❯