26 to 37 of 37 Contract Metadata Jobs

use of Common Data Environments (CDE) and/or collaboration software for document control such as SharePoint online, Autodesk etc Experience of project delivery and using naming conventions and metadata in Document Control Awareness of Construction contract environment, including contractual terms of conditions and processes Experience of working across teams and building relationships and working closely with project delivery teams More ❯

Azure - Inside IR35 The client is seeking a Purview Implementation Specialist to deliver the setup and integration of Microsoft Purview within their Azure data environment. The role focuses on metadata management, lineage tracking, and data quality enablement to support enterprise data governance and compliance.Key Responsibilities Configure and manage Microsoft Purview for metadata, lineage, and classification. Connect Purview to Azure and … on-prem data sources (Data Lake, Synapse, SQL, Power BI, ADF). Implement and automate data quality rules, profiling, and dashboards. Enable and maintain metadata, glossary, and classification structures. Integrate Purview with ADF, Synapse, and Power BI for full data lineage. Automate configuration and scanning via PowerShell, ARM/Bicep, or Azure CLI. Manage roles, permissions, and access in line … internal teams. Skills & Experience Strong hands-on experience with Microsoft Purview implementation. Proficient in Azure data services – ADF, Synapse, SQL, Data Lake, Power BI. Good understanding of data governance, metadata, and data quality principles. Experience with automation scripting (PowerShell, ARM, Azure CLI). Excellent documentation and communication skills. More ❯

technical guidance to the wider data team. Ensure compliance with data governance and security standards. Strong knowledge of Ab Initio components - Graphs, Plans, Continuous Flows, Conduct>It, Express>It, Metadata Hub, and PDL. Hands-on experience with SQL , Unix/Linux shell scripting , and data warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS … environments. Experience in the banking, financial services domain preferred. Exposure to CI/CD pipelines and DevOps tools for ETL automation. Knowledge of Ab Initio Control Center (AICC) and Metadata Hub advantageous. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

triage and manage documentation lifecycle (e.g., maintain, archive, obsolete). Work closely with Document Controllers and service provider admins to implement disposition actions and track them to closure. Align metadata between internal and external DMS platforms to ensure lifecycle consistency. Drive improvements in external DMS functionality and design. Implement formal archiving processes for external documentation. Guide business users in accessing More ❯

Fixed PRF phase-aligned to PPS. Gate to a fixed IQ sample count per pulse. One packet per pulse with zero drift over long runs. Packet header framing: Compact metadata header with magic value, monotonic pulse index, latched time counter, and fixed sample count. AXI-Stream to DMA for PS handoff. AXI control for RF switching: Manual and Automatic modes More ❯

Technical Business Analyst - Derived Pricing London - Hybrid (3 days on-site) 6 Months UMBRELLA only Role overview We are currently seeking an ambitious individual to join our clients team as Technical Business Analyst for Derived Pricing working together with colleagues More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform) Guide technical … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in Python or More ❯

and spatial data using ArcGIS Pro and ArcGIS Online. * Administer and maintain ArcGIS Server, including restarts, performance monitoring, and troubleshooting. * Maintain and update spatial datasets, including polygon editing and metadata management. * Collaborate with service areas to deliver bespoke spatial data and mapping solutions. Essential experience & skills: * Strong practical experience using the ESRI ArcGIS suite (Pro, Enterprise, Online). * Proven ability … skills. Desirable experience & skills: * Experience working in a local government or public sector environment . * Knowledge of FME, SQL, or other data transformation tools. * Understanding of data governance and metadata standards . Interviews will be held w/c 3/11/2025. Please contact me via for more information or to apply. More ❯

to gather and translate requirements into conceptual and logical data models Participate in data modelling forums to propose and review new data concepts and attributes Support data catalogue and metadata enrichment activities Ensure adherence to data modelling standards and best practices Essential Skills & Experience 10+ years in conceptual and logical data modelling Proven experience with data modelling tools (e.g. ER … lineage, and quality standards Experience in regulated environments (e.g. ECB, GDPR compliance) Desirable Hands-on experience with ER/Studio Exposure to regulatory or risk data programmes Knowledge of metadata standards and catalogue tools (e.g. Alation) Understanding of Domain-Driven Design (DDD) principles If youre a seasoned data professional who thrives on creating clarity and structure within complex financial data More ❯

collaboration and data access across systems. Key Responsibilities: - Design and build a new SharePoint site from scratch for document management and AI training content. - Develop custom workflows, libraries, and metadata structures to support efficient document handling. - Integrate SharePoint with AI platforms and databases, including Filament and Microsoft 365 Copilot APIs. - Implement intelligent indexing and retrieval mechanisms to support AI-driven … SPFx), PowerShell, REST APIs, and SharePoint Designer. - Proficiency in JavaScript, C#, HTML/CSS, and SQL Server for custom development and integration. - Experience with document management best practises, including metadata tagging, version control, and retention policies. - Familiarity with AI integration workflows, including semantic indexing, vector databases, and retrieval-augmented generation (RAG). - Knowledge of Microsoft Graph API, Azure AI Foundry More ❯