13 of 13 Remote Contract Metadata Jobs

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

quality aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations.Strong understanding of data governance, data management, and metadata practises.Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend).Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).Strong analytical and problem-solving skills, with More ❯

principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. Excellent problem-solving, communication, and collaboration skills. Organisation: Initial Contract - 3-6 months Day Rate - Outside IR35 London (Hybrid working) Robert Half Ltd acts More ❯

and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to align data strategy Data Architect, financial services, AI Reasonable Adjustments: Respect and equality are core values to us. We are proud of More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across technical and More ❯

using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build strong relationships with end users. Communicate effectively across technical and More ❯

strategy, ensuring our data is accurate, secure, consistent, and compliant with regulatory standards. You will work across business and technical teams to embed best practices in data ownership, quality, metadata management, and stewardship. This is a strategic and hands-on role, ideal for someone passionate about data and its role in driving business value and regulatory compliance. Data Governance Implementation … councils and working groups. Define and monitor data quality rules and manage exceptions. Ensure alignment with regulatory requirements (e.g., GDPR, BCBS 239, DORA). Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation. Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools. Promote data literacy and deliver training More ❯

Cloud experience is essential. Hands-on experience with Lightning Web Components, Apex, Visualforce, Triggers, SOSL, SOQL, Data Loader, Reports, Dashboards, Workflows, Process Builder, Approval Processes, Customisations, and Data/Metadata Migration. Strong understanding of Product and Pricing modelling/configuration, CPQ approvals, data migration, Quote-to-Cash processes, approval flows, and Order and Billing processes. 6-8 years' experience designing 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 ❯

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 ❯

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 ❯