1 to 25 of 45 Remote/Hybrid Metadata Jobs in London

Knowledge of regulatory frameworks eg FCA PRA GDPR Experience with cloud data platforms Azure AWS GCP Exposure to Agile Scrum delivery methodologies Experience with metadata management and data lineage tools Data EDO Personal Attributes Strong analytical and problem solving capabilities High attention to detail and data accuracy Excellent communication ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system ...

services or banking experience. Experience with regulated, secure, enterprise-scale data platforms. Experience presenting to architecture governance boards. Exposure to enterprise data governance, lineage, metadata, and data quality tooling. Experience with DevOps, CI/CD, automated testing, and modern engineering delivery practices. Experience with cloud-native data services on AWS. ...

data initiatives. Data Governance Frameworks: Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation ...

5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and Real Time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

Experience within Consumer Healthcare, Pharmaceuticals, FMCG, Retail, or similarly complex regulated environments is highly desirable. Understanding of enterprise data concepts, including: Data modelling Metadata management Reference data Data lineage Data catalogues and data marketplaces Demonstrable experience implementing MDM solutions, specifically across: Product Master Data Customer Master Data Background in defining ...

warehousing concepts, and ETL workflows. Strong analytical and problem solving abilities. Experience with code testing, validation, and quality control. Solid understanding of data structures, metadata, and data governance. We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

methods Doing ad‐hoc analysis and presenting results in a clear manner Managing and designing the reporting environment, including data sources, security, and metadata Qualifications: Passion for the financial markets and investments. Alternatively, an extraordinary curiosity about business and industry Knowledge of time‐value of money concepts, risk return frameworks ...

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, resilience ...

stakeholders to enable self-serve analytics and consumption. Good to have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting If you are interested in this position and would like to learn more, please send through your CV and we will ...

cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering practices. Preferred Background Demonstrated experience delivering enterprise data ...

Databricks medallion architecture by translating the requirements of underwriting delegated authority reinsurance actuarial claims and finance Implement and maintain modelling standards naming conventions metadata and documentation working closely with data analyst data engineers and associate’s in data office Review existing models and propose simplification standardisation and target state improvements ...

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 and policy data ...

decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning ...

enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance ...

only operating an established model. Strong practical knowledge of data governance and data management principles, including data ownership, stewardship, critical data elements, data quality, metadata, lineage, controls and governance by design. Hands on experience selecting, implementing or operationalising enterprise data governance tooling, preferably Microsoft Purview, with exposure to tools such ...

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 and regulatory standards. Data ...

Work with Data Owners and Stewards to increase adoption and accountability Support data quality management, Goals, and issue resolution Maintain governance artefacts (catalogue, glossary, metadata) Coordinate governance forums and partner engagement Alongside this, you'll gain exposure to: AI governance activities (use cases, risk, lifecycle checkpoints) Integrate data ...

maintain logical and physical data models aligned with the data roadmap and architectural principlesDefine and maintain source‐to‐target mappings, transformations, calculations, and metadata in line with design standardsCollaborate with Data Engineers and Quality Engineers to support development, testing, and delivery, while providing guidance to junior team members and supporting ...

post-production environments. Good understanding of media production workflows, post-production processes, Media Asset Management (MAM), Production Asset Management (PAM), digital content distribution, metadata management, video editing workflows, content storage, and archive strategies. Experience with digital transformation projects, ideally involving cloud migration programmes, modernisation of media production platforms, and migration ...

answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production ...

governance requirements * Promote data transparency and access to trusted performance information * Connect information from fragmented business units and systems while maintaining consistent definitions and metadata * Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting * Design solutions that scale as organisational priorities, portfolio structures … reporting requirements change * Maintain documentation covering data lineage, models, interfaces, controls and reporting standards Essential Experience * Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions * Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards * Experience with ...

LLMs and agentic systems. Design systems that make content intelligence signals available to downstream teams and products Improve automation for content quality, safety, and metadata enrichment at scale Collaborate with product, policy, and engineering teams to translate content intelligence into user impact Contribute to evaluation frameworks, data pipelines, and annotation ...