51 to 71 of 71 Metadata Management Jobs in England

develop synthetic test datasets in secure sandboxes, and build domain-specific knowledge and retrieval systems. Engineering Standards & Observability: Develop reusable, secure, maintainable solutions, including metadata management, automated testing, CI/CD, and monitoring. Technical Leadership & Stakeholder Engagement: Lead cross-functional engineering teams, translate business requirements into technical solutions … expertise in scalable ETL/ELT pipelines, API integrations, vector indexing, and enterprise AI retrieval architectures. Security & Compliance: Strong knowledge of identity and access management, identity federation, data classification, UK GDPR, and data protection requirements. Data Quality & Diagnostics: Experience assessing data quality, validating AI readiness, and developing synthetic testing ...

contributing to data architecture and applying established design patterns Strong understanding of data migration, data analysis, data modelling, data integration patterns and data lifecycle management Experience with master data, operational data stores, analytical platforms and distributed data systems Knowledge of relational and non-relational database technologies, including schema design … scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm ...

data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What theyre looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/… data pipeline tooling Experience working with large, complex datasets Understanding of data modelling, orchestration and data lifecycle management Exposure to cloud platforms (AWS) Mentoring or leadership experience a plus (for more senior hires) Package £50,000 £70,000 base Bonus + strong benefits package Hybrid working (London-based ...

GovernanceDesign and execute data quality checks, reconciliations and validation controls. Validate source-to-target mappings and transformation requirements. Support data governance activities, standards and metadata management practices. Investigate and resolve data quality issues across multiple source systems. Technical DeliveryTranslate business requirements into effective data solutions. Contribute … Policy/Claims data elements would be a preference. Knowledge of data warehouse principles i.e. Dimensional modelling, Kimbal, Start Schemas, incremental loading, master data management etcUnderstanding and ability to profile data and identify Data Quality issuesRequirements gathering and analysis skillsCompensation and benefitsAt Gallagher, we believe supporting our colleagues goes ...

across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver robust data solutions that meet business and operational needs. What Were ...

them into relevant roadmaps. Identify and drive opportunities to apply AI across CDO data capabilities and processes , including data operations, data governance, master data management, and others. Lead targeted experimentation with emerging AI and data technologies , validating high-value approaches and establishing a path from proof of concept … architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies ...

forward so you can thrive professionally and personally. What this job involves: This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within … standards, defining, and recording relevant attributes, and documenting the data standards landscape. Partner with Capital Markets product and engineering teams in the kickoff and management of various data ownership governing bodies. Develop business requirements documents for business needs and proposed enhancements to Data Governance components. Drive awareness and adoption ...

experts. Strong documentation skills, including requirements gathering and acceptance criteria definition. Experience supporting testing, defect investigation and data remediation activities. Excellent communication and stakeholder management skills. Experience working with AWS data services and Databricks for data analysis, profiling and validation. Desirable Experience Experience within Life & Pensions Insurance. Knowledge … cloud-based data platforms such as AWS and Databricks. Experience with Power BI reporting and operational MI. Understanding of data governance, lineage and metadata management principles. ...

their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased. Knowledge Base Authoring – Author and maintain … your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms ...

APIs. Familiarity with feature-store concepts, including feature discovery, reuse, versioning, and online/offline consistency. Familiarity with model registries, experiment tracking, and ML metadata management. Experience with performance, scalability, and reliability considerations for real-time systems. Hands-on experience provisioning and managing cloud infrastructure with Terraform. Experience with ...

Translating business processes, operating models and requirements into data architecture designs Establishing and maintaining data standards, governance practices and modelling principles Supporting data lineage, metadata management and data quality initiatives Defining data integration and orchestration patterns across enterprise systems Collaborating with project and programme teams to ensure solutions ...

related activities. The successful candidate will take ownership of the data and process related activities in relation to Enterprise Digital Core capabilities, including Quality Management (Testing & Conformance, Inbound and Outbound Traceability), Product Lifecycle Management (PLM), and seamless integration with Product Portfolio Management (PPM). These Enterprise … process mapping efforts in Signavio, developing and maintaining detailed process maps for all R&D Edge and Q&FS activities, including material master data management, product lifecycle management, and quality control workflows. This role is expected to work in partnership with the DT Data modelling solution architect ...

related activities. The successful candidate will take ownership of the data and process related activities in relation to Enterprise Digital Core capabilities, including Quality Management (Testing & Conformance, Inbound and Outbound Traceability), Product Lifecycle Management (PLM), and seamless integration with Product Portfolio Management (PPM). These Enterprise … process mapping efforts in Signavio, developing and maintaining detailed process maps for all R&D Edge and Q&FS activities, including material master data management, product lifecycle management, and quality control workflows. This role is expected to work in partnership with the DT Data modelling solution architect ...

INSIDE IR35 HYBRID CONTRACT ROLE (LONDON UK) Our client is searching for a deeply technical and integration-focused Salesforce Loyalty Management Technical Architect to own the engineering, custom development, and high-volume data architecture of our enterprise loyalty programs. While the Solution Architect defines the program rules and tier … structures, you will engineer exactly how those rules execute at scale. Built natively on the Salesforce platform, Loyalty Management requires a technical leader who can master complex API integrations with Point-of-Sale (POS) and E-commerce systems, optimize Large Data Volume (LDV) processing for millions of daily transactions ...

project trends and provide meaningful performance insights. Coordinate reporting inputs across project functions and stakeholders. Define and maintain reporting processes, procedures and standards. Support metadata management using SharePoint, MDT and Power BI. Identify opportunities to improve PMO tools, processes and reporting practices. Qualifications & Requirements Degree-level qualification … equivalent experience. Minimum three years' experience within Project Management or PMO environments. Strong data analysis, reporting and performance monitoring skills. Advanced Excel skills with the ability to develop reporting tools. Experience using Power BI and data visualisation platforms. Knowledge of project controls, governance and project reporting. Ability to interpret ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play … data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). Excellent communication and stakeholder management skills. Preferred Experience with ETL tools and data integration processes. Familiarity with data warehousing concepts and cloud data platforms. Exposure to Fivetran, SSIS, or Snowflake ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

Prolaborate to publish and review architecture information. Support architecture model exchange using XML and XMI where required. Maintain architecture repositories, modelling standards, naming conventions, metadata and controlled documentation. Engage with stakeholders to gather information, validate architecture models and communicate architecture decisions and dependencies. Support data architecture relating to construction … hybrid architectures. Experience modelling application landscapes, integrations and technology dependencies. Understanding of systems integration, APIs, interfaces, middleware and information exchange. Experience with requirements capture, management and traceability. Experience developing current-state, transition-state and target-state architecture views. Experience using ArchiMate or an equivalent enterprise architecture modelling notation. Working ...

next frontier is AI. For agents to be effective with data, they need more than raw tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans … love to see: Experience building developer platforms, internal tools, control planes, data platforms, cloud platforms, or engineering productivity products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business ...