176 to 200 of 247 Permanent Metadata Jobs

understanding of: o Relevant data protection laws and regulations, such as GDPR o Data management frameworks for each of the data management capabilities (data quality, reference data management and metadata management) o Data management tools (data quality, reference data management and metadata management) and experience working with them o Data ownership and stewardship models KEY SKILLS REQUIRED • Delivery focused, the More ❯

and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to the development … integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across More ❯

and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to the development … integration points. Experience: Managing master data in SAP ECC. Exposure: SAP S/4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across More ❯

enrich and optimize classification logic. 2. Data Governance Leadership: Define, implement and enforce data governance policies across taxonomy, attributes, normalization and classification. Develop and maintain documentation for data standards, metadata rules, and governance playbooks. Conduct regular data integrity audits and system health checks across product content platforms. Partner with internal and external teams to ensure consistent adherence to AD data … taxonomy enhancements and content workflows. Build and manage QA workflows for new vertical launches and product content rule changes. Requirements: Knowledge, Skills and Abilities: 1. Deep knowledge of taxonomy, metadata standards, and data quality practices. 2. Strong analytical, problem-solving, and documentation skills. 3. Excellent communication and collaboration skills, with the ability to represent governance and taxonomy requirements to both … 1. Bachelor’s degree in Information Science, Library Science, Data Science, Business Analytics, or a related field (advanced degree a plus). 2. Equivalent professional experience in taxonomy development, metadata standards, knowledge organization, or data governance will also be considered. 3. 7–8+ years of professional experience in data governance, product taxonomy, digital product data management, or closely related disciplines. More ❯

experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy establishment, implementation and monitoring within IT Risks, Information Security, cybersecurity, GDPR etc.To assist and support all business departments in … or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including the management of metadata, data lineage, data security, data quality, data standards, and their policy establishment, implementation and monitoring. Participating in the Head Office Enterprise Data Platform (EDP) construction on behalf of London Branch More ❯

objects such as charts of accounts, business units, cost centers, and legal entities. Ensure alignment and synchronization of hierarchies across ERP, EPM, and other downstream systems. Support data migration, metadata transformation, and mapping activities. Implement data governance and approval workflows within EDMCS. Conduct data quality checks, validations, and resolve hierarchy-related issues. Provide hands-on training and knowledge transfer to … Practical experience supporting Oracle Cloud ERP (Financials) implementations. Experience with Autosys and Unix environments. Good to have: Python programming skills. Strong understanding of enterprise data governance principles. Proficiency in metadata management, dimensional hierarchies, and data mapping. Ability to interact effectively with both business and technical stakeholders. Excellent analytical, problem-solving, and communication skills. If you are interested in this opportunity More ❯

business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access. Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data that fulfils the analytics requirements. Design data models, architect dataflows, and develop abstractions to deliver … to each situation. Experience building and optimizing analytic solutions and data products which deliver significant business impact. Data analysis and exploration skills to identify, select, and prepare data or metadata for analytics. Business acumen to understand and address business challenges through analytics engineering. Experience building, maintaining, and optimizing enterprise-scale data pipelines handling logs and event streaming data on Cloud More ❯

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: 100,000 - 120,000 base plus benefits, perks, healthcare options and bonus! Note: Capital Markets experience is a … leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance. Key Responsibilities: Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data … Data Quality Automation and CDE Identification. Qualifications: Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Familiarity with regulatory frameworks such as BCBS239, Dodd Frank, MiFID, and EMIR. Strong proficiency in SQL, Python, and familiarity with AI and data More ❯

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: £100,000 - £120,000 base plus benefits, perks, healthcare options and bonus! Note: Capital Markets experience is a … leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance. Key Responsibilities: Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data … Data Quality Automation and CDE Identification. Qualifications: Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Familiarity with regulatory frameworks such as BCBS239, Dodd Frank, MiFID, and EMIR. Strong proficiency in SQL, Python, and familiarity with AI and data More ❯

plus. Exceptional communication and collaboration skills across business and technical teams. Demonstrated ability to operate independently, solve problems, and manage multiple priorities in a dynamic environment. Summary: The Channel Metadata Analyst supports Digital Lab with day-to-day management, oversight, and optimization of marketing metadata and digital operational programs. This role will also cover aspects of Email Rental, Preference Center … management, and dashboard/data operations. Responsibilities: Lead daily operations, including metadata tagging and dashboard management across complex brand programs, ensuring accuracy and on-time execution Collaborate with internal stakeholders and agencies to maintain updated content, align processes, and uphold data management standards Utilize Salesforce (CPMT) for metadata activities Perform data querying, analysis, and process automation using SQL Develop and More ❯

deployment approaches (e.g. cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. the ability to pass security clearance, backed by the right to work in the UK About The Team Within PDS, the Data & Search Team enables data-driven … cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. Criterion 6 (Desirable) Experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. Criterion 7 (Desirable) Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, Bicep, ARM, or CloudFormation) and data observability or monitoring practices. More ❯

deployment approaches (e.g. cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. the ability to pass security clearance, backed by the right to work in the UK About The Team Within PDS, the Data & Search Team enables data-driven … cloud container services (preferred), Docker or Kubernetes) and CI/CD practices. Criterion 6 (Desirable) Experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards. Criterion 7 (Desirable) Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, Bicep, ARM, or CloudFormation) and data observability or monitoring practices. More ❯

and reporting tools Experience leveraging cloud technologies Experience performing schema design Experience designing and enforcing business rules to ensure data quality Experience with data integration and mapping Familiarity with metadata and best practices for metadata collection, storage, and management Familiarity with Data Management and Data Governance best practices, tools and practices Ability to translate business requirements into technical requirements Strong More ❯

BI ecosystem. ? What You'll Do 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 on top of curated … Editor. Excellent design intuition-clean 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. More ❯

BI ecosystem. What You'll Do 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 on top of curated … Editor. Excellent design intuition-clean 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. More ❯

agency resources to analyze, compile. verify, and query data as part of data warehousing services. Develops complex SQL queries used by reporting environments and data-driven dashboard applications Creates metadata and data dictionaries. Designs and documents methods to facilitate the implementation of new database systems. Designs and implements reports using SQL as well as a variety of reporting and business … Extensive knowledge of and skill in applying analytical methods and practices, and requirement analysis principles and methods. Extensive knowledge in working with relational database technologies. Extensive knowledge in creating metadata/data dictionaries; designing and implementing reports Extensive knowledge creating database views used for the purposes of establishing live data feeds as well as the development of data-driven dashboard More ❯

reliable and compliant, enabling us to unlock its full value across the organisation. You will champion the management of data through data quality, ownership and governance processes, while maintaining metadata and supporting regulatory compliance. As a subject matter expert, you will guide best practices and play a key role in mentoring colleagues. You will also manage and support a junior … will bring hands-on experience in developing and embedding data governance frameworks that ensure data is accurate, trusted and compliant. You will have a strong grasp of data quality, metadata management and regulatory standards, ideally gained within financial services or another regulated sector. Leadership and collaboration: You will have experience managing or mentoring others, with a supportive and inclusive leadership More ❯

reliable and compliant, enabling us to unlock its full value across the organisation. You will champion the management of data through data quality, ownership and governance processes, while maintaining metadata and supporting regulatory compliance. As a subject matter expert, you will guide best practices and play a key role in mentoring colleagues. You will also manage and support a junior … will bring hands-on experience in developing and embedding data governance frameworks that ensure data is accurate, trusted and compliant. You will have a strong grasp of data quality, metadata management and regulatory standards, ideally gained within financial services or another regulated sector. Leadership and collaboration: You will have experience managing or mentoring others, with a supportive and inclusive leadership More ❯

for a highly experienced Senior Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. The role requires a strategic thinker who can lead technical design discussions, drive best practices, and mentor junior engineers. The … comfortable managing multiple deliverables, working closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. Responsibilities The successful candidate will: Lead the development of metadata ingestion frameworks and orchestration processes. Design and implement scalable and reusable metadata-driven services to optimise data pipelines. Architect and maintain robust data solutions using Databricks and Azure services (such … with a strong focus on Databricks (SQL & PySpark). Extensive experience with Azure data services, including ADF, Synapse, ADLS, and Azure Functions. Proven track record of designing and implementing metadata-driven data pipelines. Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT. Strong understanding of CI/CD practices for data engineering. Experience with infrastructure as code (Terraform More ❯

for a highly experienced Senior Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. The role requires a strategic thinker who can lead technical design discussions, drive best practices, and mentor junior engineers. The … comfortable managing multiple deliverables, working closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. Responsibilities The successful candidate will: Lead the development of metadata ingestion frameworks and orchestration processes. Design and implement scalable and reusable metadata-driven services to optimise data pipelines. Architect and maintain robust data solutions using Databricks and Azure services (such … with a strong focus on Databricks (SQL & PySpark). Extensive experience with Azure data services, including ADF, Synapse, ADLS, and Azure Functions. Proven track record of designing and implementing metadata-driven data pipelines. Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT. Strong understanding of CI/CD practices for data engineering. Experience with infrastructure as code (Terraform More ❯

SharePoint administration with longer-term digital transformation initiatives. No two days will be the same - one day you might be troubleshooting site performance, the next you could be developing metadata models or advising stakeholders on best practice for document management. As The SharePoint Data Administrator, You Will: Administer and maintain SharePoint environments, including site collections, libraries, lists, workflows, and permissions. … Design and implement metadata models, taxonomies, and content types to improve classification and searchability. Develop and enforce governance policies to support effective, secure, and compliant use of SharePoint. Work with stakeholders to deliver tailored SharePoint solutions that enhance collaboration and knowledge sharing. Provide training and support to users on document management standards and best practice. Manage data lifecycle processes including … we'd love to hear from you. You'll Bring Some Of The Following: Experience with SharePoint Online/Server and Microsoft 365 ecosystem. An interest in information architecture, metadata, and taxonomy design. Skills in tools such as SQL, PowerShell, Excel, or Power BI. Strong communication skills, with the confidence to work closely with a variety of stakeholders. The ability More ❯

and Responsibilities Data & Retrieval Build 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 advanced NLP, information retrieval, and … that enhance Chambers and Partners’ 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 traditional ML and LLM models More ❯

and translate them into practical solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative development. Partner with technical architects … a data architecture capacity. Strong 'can-do' attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with both data and More ❯

onsite) The Role Strong background in Salesforce release management within regulated environments (preferably financial services or banking). Hands-on experience with Salesforce deployments (including use of version control, metadata APIs, and deployment automation tools). Your Responsibilities (Up to 10) Experience coordinating Salesforce environments as part of complex release schedules. Proven ability to plan and execute sandbox refreshes and … prevent recurring issues. Essential Skills & Experience Strong background in Salesforce release management within regulated environments (preferably financial services or banking). Hands-on experience with Salesforce deployments (version control, metadata APIs, deployment tools). Working knowledge of Agile, DevOps, and ITIL frameworks. Strong understanding of data governance, GDPR, and FCA compliance. Excellent coordination and stakeholder engagement skills; ability to interact More ❯

our clients in the Data 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. As a Data Management Associate … and dashboards to monitor and report on data health Lead end-to-end delivery of data quality initiatives, from requirements gathering to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality automation More ❯