51 to 75 of 295 Metadata Jobs in the UK

Agile Delivery, AI and Innovation, Business Process Mapping, Change Management, Content Syndication, Data Collection and Analysis, Digital Shelf Optimization, Growth Mindset, IT Data Management, Metadata and Taxonomy Design, Platform Strategy, Product Development, Review and Reporting, Stakeholder Engagement, Verbal and Written Communication Competencies : Cultivates Innovation, Customer Focus, Decision Quality, Drives Results More ❯

dimensional models in the gold layer built for analytical use. Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such More ❯

discussions. Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred qualifications: Expertise in configuring/customizing Collibra, data governance frameworks, metadata management, and data quality. Proficiency in SQL, databases (e.g., Oracle, SQL Server), and familiarity with data integration tools. Ability to translate business requirements into technical More ❯

creating data models and data flows in collaboration with the business and technical teams. Data Catalog: Assist in developing and maintaining data dictionaries and metadata repositories. Data Analysis: Analyze business data to identify opportunities for improvement. Stakeholder Communication: Serve as a point of contact between the data project team and More ❯

and Pandas. ·Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. ·Build processes supporting data transformation, data structures, metadata, dependency and workload management. ·Experience supporting and working with cross-functional teams in a dynamic environment. ·Strong communication skills to collaborate with remote teams (US More ❯

and Pandas. Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US 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 ❯

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 ❯

Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh Understanding of data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Ability to implement data processing and transformation pipelines More ❯

champions Data Management across Finance and across other business areas, driving forward Group Data Policy and Regulatory compliance. We lead and develop LBG Finance metadata, including data dictionaries, data profiling, data quality rules, controls and data lineage, using strategic tools such as Collibra and Ataccama. We support development of Data More ❯

Knowledge of GCP Kubernetes would be an advantage. Knowledge of data warehousing concepts with a good understanding of dimensional models. Experience in implementing a metadata framework for data ingestion, data quality, and ETL. Good communication skills and ability to manage IT stakeholders. More ❯

SQL. • Ability to interpret complex data requirements and architect solutions. • Experience with SAP Power Designer or a similar data modeling tool. • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. • Experience with Microsoft Azure Synapse is a plus. • Excellent presentation, communication (oral 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 ❯

update existing data models Collaborate with data architects, data analysts, and business users Support the implementation of data management strategies Create data definitions and metadata Identify opportunities to optimize data usage Qualifications Proven work experience as a Data Modeler or Data Architect Experience in data modeling principles/methods including 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 ❯

maturity assessments and alignment of gaps to enabling technology solutions Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private 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 ❯

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 ❯

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 ❯