176 to 200 of 208 Permanent Metadata Jobs

both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing , ensuring robust data lineage and governance. Building standards and frameworks that define how data is structured and managed across multiple platforms. … ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational and dimensional modelling methodologies. Understanding of ETL frameworks, metadata management, and data governance principles. Ability to communicate complex data concepts to senior stakeholders in client-facing settings. BENEFITS The successful Data Modeller will receive ...

Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps . Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively … layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation experience. ...

Lead - Data Specialist Contract: 6 months contract Location: London Hybrid 2 days in office Department: Data & Analytics Reports to: Lead, Metadata & Data Management About the Role We are hiring a Contractor Lead - Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data, data sourcing … data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations for a major strategic transformation. Metadata & Lineage Drive the capture and management of metadata as part of change and operational deliverables. Maintain metadata repositories and process maps, resolving inconsistencies and escalating ...

helps our customers on their journey to get more value out of their enterprise data. We enable organizations to integrate all their data and metadata, power transactional and analytical applications, and curate data for machine learning and AI. To learn more visit . The Senior Principal Information Science Consultant … client facing knowledge management expert and trusted advisor who helps customers design and evolve high value Semaphore solutions that address complex information, metadata, and knowledge model (i.e. thesauri, taxonomy and ontology) challenges. The role emphasizes deep discovery, collaborative problem solving, and long-term partnership rather than transactional engagements, ensuring customers ...

accuracy and consistency is aligned with business expectation. Supporting Data cleansing and enrichment tasks as well as contributing and collaborating to SAP teams. Supporting metadata management whilst collaborating with the wider business on data ownership, stewardship and maintenance. Ensuring data is structured and standardised with governance policies. Conduct data profiling … master data in SAP ECC. Exposure: SAP S/4HANA, SAP Datasphere, SAP MDG. Data Governance & Quality Tools: Tools: Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Technical Skills: Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … Data Management Manager, you will be responsible for designing and implementing metadata management and data lineage solutions that support enterprise-wide data governance and transparency. The role requires you to design and architect enterprise data discovery and lineage solutions that solve client challenges and enable strategic data governance capabilities. ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … Data Management Associate Manager, you will be responsible for designing and implementing metadata management and data lineage solutions that support enterprise-wide data governance and transparency. The role requires you to design and architect enterprise data discovery and lineage solutions that solve client challenges and enable strategic data governance capabilities. ...

Reading Inside of IR35 – Rate TBD Role Requirements: Experience: Background in data governance, data management, or related disciplines. Knowledge: Familiarity with governance frameworks, metadata management, and compliance requirements. Technical Awareness: Understanding of governance tooling (e.g., Microsoft Purview or similar). Collaboration: Ability to work with multiple stakeholders across nations … Data Governance Manager to define foundational governance for a greenfield data environment. Define and maintain data dictionaries , glossary terms , standards , naming conventions , and metadata structures . Implement governance tooling once selected (e.g., Purview or equivalent). Engage with business areas and national representatives to understand data usage, classification, and control. ...

/MLP and the longer-term technical roadmap. Key responsibilities Define and govern platform architecture (cloud, data, APIs, integrations, security) Set standards for schemas, metadata and interoperability Support hands-on delivery and solve complex technical challenges Produce clear documentation, technical direction and best practices What my client is looking … Strong experience with cloud-native distributed systems Hands-on AWS/Azure/GCP knowledge (IAM, networking, storage, compute) Strong data architecture experience (schemas, metadata, governance) Nice to have Data-intensive platform/marketplace experience Integration-heavy work + exposure to IaC/DevOps Location & eligibility UK-based role. Right ...

maintain platform architecture across cloud infrastructure, data platforms, application services, APIs, integration layers, and security Identify, define, and maintain content data standards, schemas, and metadata norms in collaboration with Solutions Architects Champion best practices in platform architecture, cloud infrastructure, API design, integration patterns, and security, with hands-on involvement … cloud platform (AWS, Azure, or GCP), including compute, networking, storage, and identity and access management Strong data architecture skills, including structured and unstructured data, metadata management, and schema design Ability to analyse, challenge, and improve technical designs proposed by engineers or third-party vendors Experience working in environments with meaningful ...

data according toestablished Quality Assurance Plans, working directly withcivilian and military personnel to develop GIS data, field data collection and development, GIS program management, metadata development, map production for various customers both military, internal, and civilian, web map development, GIS instruction, and custom GIS training exercise support. Secondary duties include … acquired data as well as on produced geospatial representations of that data and to report on QC issues unresolved, to document via required geospatial metadata as well as via monthly progress reports, and to perform mapping for QC and update briefing purposes. The successful candidate will work directly with ...

robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi-structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy … research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain ...

Governance & Compliance: Implement governance frameworks and support governance activities. Support the implementation of policies, standards, and guidelines related to data legislation and compliance. Knowledge & Metadata Management: Organize knowledge assets and manage their lifecycle (identification, classification, storage, maintenance). Enable users to find information through effective metadata and search tools. Data … communication plans. Skills, Experience, and Abilities Required: Proficiency in UML, BPMN, ArchiMate, and Sparx Enterprise Architect Strong understanding of data governance, compliance, and metadata management Ability to design relational database schemas and integration interfaces Familiarity with HTTP methods and API interaction design Excellent collaboration and communication skills Additional Information: Hybrid ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … Data Management Manager, you will be responsible for designing and implementing metadata management and data lineage solutions that support enterprise-wide data governance and transparency. The role requires you to design and architect enterprise data discovery and lineage solutions that solve client challenges and enable strategic data governance capabilities. ...

approved Ariba workflow. Data stewardship in Ariba (single source of truth) Champion data quality across sourcing projects, contracts and savings forms—owning taxonomy alignment, metadata completeness and timeliness (e.g., renewal dates, values, clauses). Use the latest upload templates and required fields; fix gaps rapidly to keep reporting dependable. Produce … renewals 6–12 months ahead. Data Quality excellence within Ariba: 100% of in-scope contracts loaded in a timely manner with complete, correct metadata; sourcing projects and savings forms kept current; reporting is “board-ready”. Value & risk: Achieve agreed savings/avoidance targets to support overall Sourcing team savings ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

role We are seeking an individual to manage Natural Resources Wales' data cataloguing and publishing tools, including the Discovery metadata catalogue and open data holdings on NBNAtlas and DataMapWales. This role is central to delivering our corporate objectives by making environmental and monitoring data openly available, supporting transparency, innovation … service. What you will do Support the system owner for NRW's suite of data cataloguing and data publishing tools (e.g. Information Asset Register, metadata base, external data publishing, open APIs and data download tools) by providing technical database/service administration and configuration; managing user permissions; working closely with ...

upload and ingest of large volumes of digitized and born digital content, configuring roles and security and integrating and mapping to catalogs and metadata standards Ideally with a background in either technical support or customer success within a records management or SaaS service environment, you will be familier with real … life best practice workflows, ingest routines and data/metadata mapping, using custom scripts and APIs. Equally you will have sound customer centric skills and a positve can-do attitude. Responsibilities: Lead portions of customer onboarding projects, including data ingest and metadata mapping. Develop and maintain scripts (Python, PowerShell ...

security to ensure alignment with compliance and data retention policies. Key Responsibilities Serve as the primary resource for Box platform configuration, folder structure design, metadata strategy, and user access governance. Lead content migration efforts from shared drives, legacy repositories, and outdated storage systems into Box. Design and implement optimized workflows … Community of Practice to promote best practices and platform knowledge sharing across departments. Required Qualifications Skill/Experience Required Years of Experience Box configuration, metadata management, and access control ? 5+ years Content migration from legacy systems into Box ? 5+ years Workflow design, digital signatures, collaboration tools ? 5+ years Compliance-aligned ...

DevOps Engineer (UK) Role Details Role/Job Title: DevOps Engineer (UK) Work Location: Sheffield Mode of Working: Hybrid Office Attendance (Hybrid): 3 days The Role Own and evolve our Jenkins Shared Library powering multi ...

Engineer With AWS Migration experience. Job Description:- Lead the end-to-end SAS migration from Cloudera to AWS, ensuring seamless reconfiguration of SAS Metadata Server, Connectivity, and SAS jobs. Work directly with business stakeholders and engineering teams to plan, execute, and sign off migration activities. Key Responsibilities Lead SAS migration … activities from Cloudera (HDFS/Hive) to AWS. Oversee reconfiguration of SAS Servers, metadata, libraries, and connection points. Understand and redesign SAS jobs referencing HDFS/Hive to AWS equivalents. Manage prioritisation, planning, and progress tracking for 1000+ SAS jobs. Collaborate with business SMEs for coordinated testing and sign-offs. ...