26 to 50 of 58 Metadata Management Jobs in London

Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking … integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide ...

Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My client is looking to employ an experienced … ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies ...

schemas, transformations, and operational runbooks GOVERNANCE & REPORTING Maintain accurate documentation of data pipelines, schemas, transformations, and deployment processes Support data governance initiatives including lineage, metadata management, and access control Contribute to service reporting, risk tracking, and continuous improvement actions Ensure data environments are audit-ready and aligned with … PostgreSQL (limited use) MySQL (limited use) Data Processing: Batch and streaming data pipelines Security & Governance: Role-based access control (RBAC) Data encryption and key management Audit logging and monitoring DevOps: CI/CD pipelines for data artefacts and infrastructure BEHAVIOURAL COMPETENCIES – ORGANISATIONAL & BEHAVIOURAL FIT Positive mindset and enthusiasm ...

Overview The Head of Data Solutions leads the strategy, development, and lifecycle management of data products across Gallagher. This role ensures high quality, trusted, and scalable data assets are delivered to support the UK Business and corporate reporting and analytical needs to enable business objectives. The role blends product … leadership, data strategy, and stakeholder management to turn data into measurable business value. This role will report to the UK Chief Data Officer to support the UK data strategy and align with the global Enterprise Management team to support the global data strategy. The role will be based ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake ...

business cases for proposed solutions.\ N\nSkills Required \ NEssential:\ N\nStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.\ NExperience in establishing data analytics and supporting AI solutions.\ NData quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. \ NGood working experience of AWS (e.G. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.G. ADF, Synapse, Fabric, Azure Functions). \ N\nDesirable Skills\ N\nWorking experience in Data Lakehouse environments such ...

proposed solutions. \n\n Skills Required \n Essential: \n \n Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. \n Experience in establishing data analytics and supporting AI solutions. \n Data quality/validation … experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience ...

leadership on Customer data architecture, ensuring solutions support consistent, trusted Customer data across all channels. Propose design patterns and solutions that enable Customer data management, integration, enrichment, and governance. Create and maintain design artefacts for Customer data solutions to enable engineering teams to build effectively, or solutions … Review Customer data solutions for compliance with design principles and functional/non-functional requirements. Lead design decisions and best practices for Customer data management, identity resolution, and master data management. Stay abreast of industry trends in Customer data technologies and Retail data strategies. Skills Required: Essential - Proven experience ...

leadership on Customer data architecture, ensuring solutions support consistent, trusted Customer data across all channels. Propose design patterns and solutions that enable Customer data management, integration, enrichment, and governance. Create and maintain design artefacts for Customer data solutions to enable engineering teams to build effectively, or solutions … Review Customer data solutions for compliance with design principles and functional/non-functional requirements. Lead design decisions and best practices for Customer data management, identity resolution, and master data management. Stay abreast of industry trends in Customer data technologies and Retail data strategies. Skills Required: Essential - Proven experience ...

world's most respected media organisations. This role is crucial in shaping the future across production facilities, content workflows, media asset management, editing, archiving, distribution, and monetisation. Day-to-day of the role: Elicit, analyse, and document business requirements across media production and content distribution workflows. Create detailed … development and solution evaluation. Analyse and optimise end-to-end content supply chains. Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving. Identify opportunities for workflow automation and operational efficiencies. Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams. Navigate ...

Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica) Exposure to AI/ML use cases in analytics Background in financial services or other regulated ...

travel. At least 10 years of IT experience, practical solution planning and technical architecture design (SaaS, IAM). Deep knowledge of emerging technologies, data management governance, and technology road‐mapping. Experience with Microsoft Office 365, Dynamics 365, SAP SuccessFactors, Azure AD, Power BI, etc. Strong stakeholder engagement, conflict resolution … vendor management skills. Salary range: £90,000–£110,000 + benefits. Location: Central London (Hybrid). Enterprise Data Architect Own the data architecture strategy, develop dashboards, and orchestrate data pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

practices and accountability Partner with BI, data architecture, and technology teams to embed governance into analytics, platforms, and transformation initiatives Oversee data quality frameworks, metadata management, and reference data strategies to improve data consistency and usability Define and govern data domains, ownership models, and governance standards across … data governance frameworks Experience embedding governance into business as usual processes and influencing adoption across teams Expertise in data governance disciplines including data quality, metadata, data domains, and reference data management Hands on experience with governance tooling such as Collibra, Informatica, or Data360 Ability to work effectively ...

highly regulated environment. Experience contributing to open‐source data projects. Familiarity with machine learning and AI concepts and their application in data management and analysis. Knowledge of emerging agentic technologies and their implications for data architecture. Responsibilities Act as a primary technical point of contact for a large, complex … financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects). Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239). Develop and advocate strategies for federating data responsibility across ...

fields). Lead data mapping, transformation, and integration activities. Develop artefacts including data mapping documents, data dictionaries, and data architecture definitions. Support data lifecycle management (upgrade, archive, decommission). Ensure alignment with data governance policies and enterprise data standards. Provide guidance to development teams … retrieval. Proven ability to organise and structure data at an enterprise level, ensuring consistency, accessibility, and governance. Hands-on experience designing and implementing data management systems. Strong capability to design and optimise data ingestion and pipeline models. Experience supporting and influencing technology stack decisions, aligning solutions with business requirements ...

physical data models for operational, analytical, and AI use cases Providing architectural oversight and design assurance across delivery teams Supporting data governance, lineage, metadata management and data quality initiatives Contributing to long-term architecture roadmaps and investment planning This is an excellent opportunity to join an organisation undergoing ...

Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams … highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity. Change management requirements: Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working. Internal/External ...

improvement. Demonstrable experience assessing data ownership, stewardship and accountability arrangements, including identifying areas where ownership is unclear or absent. Strong understanding of data access management principles, including reviewing and improving approaches to granting, managing and monitoring data access. Experience analysing organisational structures and processes to identify governance, accountability … supports broader data capabilities, including data architecture, data engineering, reporting, analytics and AI initiatives. Knowledge of relevant regulatory and compliance requirements, including GDPR, information management and data protection principles. Desirable Skills and Experience Experience supporting the introduction of metadata management, data cataloguing or data classification approaches. Experience ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability ...

standards Identify and address data quality, integration, and duplication risks Align data models with future platform and PAS requirements Support data governance and metadata management activities Essential Experience Proven Data Architect experience within complex transformation programmes Strong hands-on data modelling expertise Insurance sector experience, particularly underwriting … policy data Knowledge of London Market data standards Excellent stakeholder management and collaboration skills Technical Skills Snowflake ETL/ELT processes Data integration and pipeline design Power BI and reporting platforms Hybrid role with an initial 6-month contract and strong extension potential. ...

part of the role will be maintaining and enhancing data feeds from Oracle E-Business Suite R12.2.10 into FCCS , including mappings, interfaces, metadata and dimension changes. The role may also involve creating or improving interfaces into FCCS as business requirements evolve. There will also be opportunities to work closely … including system configuration, user access, security and role management. Maintaining and updating FCCS dimensions, including entity, account, movement, intercompany and custom dimensions, hierarchy changes, metadata updates and mapping changes. Maintaining, troubleshooting and improving data integrations between Oracle FCCS and Oracle E-Business Suite R12. Supporting and, where required, helping ...

reading the complete job description and applying promptly. JOB DESCRIPTION The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform … World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify ...

connect them with exceptional professionals for this role.\ NJOB DESCRIPTION\ NThe Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform … World-Class Discovery Experience\ N\nLead the UX and service design vision - intuitive, fast, and delightful across all touchpoints.\ NBuild rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle ...

them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable … Discovery Experience \n \n Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. \n Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle ...