51 to 75 of 145 Metadata Jobs in London

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

in building and embedding data governance frameworks and controls. Hands-on experience with Microsoft data technologies (Azure, Purview). Strong knowledge of data management best practices, including data quality, metadata, and lineage. Practical understanding of regulatory requirements impacting data in financial services. Exceptional stakeholder management and communication skills, with the ability to influence senior business and technology partners. Pragmatic and More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

modern, data-centric architecture Useful Experience: Data Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data More ❯

Key-Value pair, and NoSQL Document Store · An understanding of one or more industry models such as IFW, Teradata, FIBO, or BIAN · Knowledge of data product management, data management, metadata management, data lineage management, and data definitions · Proficiency when designing with concepts and regulations such as GDPR, PCI-DSS, PII · A basic understanding of knowledge and/or property graphs More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework ( Batch/Micro Batch processing ) Data Contract & Data management( including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work More ❯

provide functional and technical expertise to support enterprise performance management activities including Planning, Budgeting, Forecasting , and Financial Reporting . Key responsibilities include: Administration and support of Oracle EPBCS applications (metadata updates, data loads, security provisioning, etc.) Troubleshooting and developing EPM Reports and Smart View templates Identifying and resolving discrepancies between EPM reports and source financial systems Managing EPM Automate Maintaining More ❯

to senior leadership Define and implement data-driven pricing strategies Design data operating models, target architectures, and transformation roadmaps Define data ownership models, stewardship roles, and quality KPIs Support metadata management, lineage tracking, and data cataloging initiatives To be successful in this role, you will have: Strong track record working in data advisory, strategy, or management roles Consulting experience within More ❯

to senior leadership Define and implement data-driven pricing strategies Design data operating models, target architectures, and transformation roadmaps Define data ownership models, stewardship roles, and quality KPIs Support metadata management, lineage tracking, and data cataloging initiatives To be successful in this role, you will have: Strong track record working in data advisory, strategy, or management roles Consulting experience within More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

and/or access methods. . Produce, maintain and update relevant data models for specific business needs. . Reverse-engineer data models from a live system. . Work with metadata repositories to complete complex tasks such as data and systems integration; impact analysis; maintain a repository to ensure information remains accurate and up to date. . Design, code, test, correct More ❯

for critical issues. Work with Technology and market data vendors to get solutions working for clients. Setup and customize our instrumentation and tooling to generate meaningful alerts and gather metadata on network behavior over time. What's required 8-10 years of experience with 3-5 experience in low latency networking Deep understanding of network systems/architectures at a More ❯

for critical issues. Work with Technology and market data vendors to get solutions working for clients. Setup and customize our instrumentation and tooling to generate meaningful alerts and gather metadata on network behavior over time. What's required 8-10 years of experience with 3-5 experience in low latency networking Deep understanding of network systems/architectures at a More ❯

role, youll be at the heart of shaping, managing, and optimising M365/SharePoint environments for our clients. Youll advise on best practices including designing robust site structures, implementing metadata strategies, and ensuring seamless content lifecycle management across complex environments that empower organisations to collaborate and innovate effectively. A significant part of your responsibilities will centre on leveraging Microsoft Purview More ❯

Establish testing frameworks to validate data integrity and pipeline performance. Define and enforce consistent output schemas to facilitate downstream integration and reuse. Develop shared code libraries and maintain comprehensive metadata and documentation to support collaboration and transparency. Design and deploy observability tools and practices to monitor, log, and troubleshoot clinical data pipelines effectively. Expert-level SQL proficiency and Python fluency. More ❯

data ownership , escalating where needed Enforce governance standards under pressure while maintaining business alignment Collaborate across divisional teams with strong stakeholder management Experience Required 10+ years in data governance, metadata management, and cataloging Strong technical understanding of Microsoft Purview , Azure, and Databricks Familiarity with tools like Collibra, Elation , or similar is a plus Background in data engineering, architecture , or technical More ❯

Strong understanding of data quality frameworks, issue management, and CDMP standards Hands-on experience with Collibra APIs, workflow design, and integrations with CDQ Expertise in data product modelling and metadata management Demonstrated ability to manage teams and projects in an agile environment Excellent senior stakeholder engagement and communication skills London-based, with flexibility for hybrid working About Korn Ferry Korn More ❯

one of the automation tools VBA, Power Automate, or PowerShell Running and building data processes in Excel (VLOOKUPs/XLOOKUPs, parsing, concatenation, forms) Supporting SharePoint admin tasks (user management, metadata, compliance checks, uploads) Troubleshooting user issues (e.g. access and MFA) Training and advising colleagues on using M365 apps and Adobe Helping migrate data to SharePoint and supporting business improvement initiatives More ❯