126 to 150 of 356 Metadata Jobs in London

engineering teams to define and evolve the organisation’s enterprise data architecture. Key responsibilities include defining roadmaps, modeling data, establishing standards and supporting metadata, data quality, and data catalogue #J-18808-Ljbffr ...

London is seeking an experienced Data Architect to lead data architecture across Financial Information products. You will design canonical data models, define metadata standards and enable AI-friendly data access while ensuring regulatory alignment. You will partner with delivery teams and IT Architecture to translate complex data concepts into scalable ...

management/technology delivery * Alation and/or Profisee implementation and delivery (or similar platforms such as Collibra, Informatica, Purview or Ataccama) * Data Governance, Metadata Management, MDM and Data Quality * Agile delivery and stakeholder management * Vendor management, risk management and technical oversight If you have a strong track record delivering ...

delivery Secure data integration experience across multiple security domains API, file-based, legacy and bespoke integration design and delivery Data modelling, governance, lineage and metadata management AWS security, IAM, networking and access control Strong technical leadership, stakeholder engagement and documentation skills Nice to have: AWS Solutions Architect certification TOGAF, MODAF ...

delivery Secure data integration experience across multiple security domains API, file-based, legacy and bespoke integration design and delivery Data modelling, governance, lineage and metadata management AWS security, IAM, networking and access control Strong technical leadership, stakeholder engagement and documentation skills Nice to have: AWS Solutions Architect certification TOGAF, MODAF ...

engineers within the Lending squad Support workload allocation and delivery across the squadlet structure Lead development of the unified Lending data model Contribute metadata, definitions, and relationships for self-serve analytics and GenAI use cases Support the organisation's transition to GCP and Looker platforms Requirements Strong SQL and data ...

management. Good understanding of data artifacts, gathering and documenting business requirements to support solution builds, both business and technical requirements. Understanding of data warehousing, metadata management, data analysis and data validation Understanding of information risk, data privacy and protection of information and the types of regulations they speak to. Must ...

specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data ...

specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data ...

into data solutions Experience working with data owners and data engineering teams to source, transform, and curate data Solid understanding of data quality and metadata management, with proficiency in SQL and Python Ability to operate effectively in a matrixed environment and influence stakeholders across business, data, and technology functions Understanding ...

ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. Maintain the model inventory and model metadata for the coverage area. Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. ...

similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management. Hands‐on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong stakeholder ...

objectives. Team Overview The Common Tooling Platform Data Services team develops and maintains microservices that handle the fetching, enriching, consolidating, and distribution of network metadata to customers. The team also creates an event-based inventory system to facilitate communication across the network ecosystem, ensuring efficient management and accessibility of network ...

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 ...

ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. Maintain the model inventory and model metadata for the coverage area. Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. ...

consistency Understanding of AI capabilities and how they can be leveraged safely and ethically in knowledge work Customer-centric mindset Experience in taxonomy development, metadata management, or content classification Good technical ability and an aptitude for learning proprietary taxonomy systems Knowledge of Agile working methodologies Proficiency in additional languages Experience ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...

/sub MQ, the heart of our system, offers high availability, low latency and message persistence. We provide gRPC and HTTP APIs for various metadata, while PostgreSQL and ElasticSearch serve as our go‐to databases. Responsibilities: Design, implement and maintain complex designs/features written in Python and Rust Implement ...

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 ...

integration, DER/RES integration and corporate asset management. Responsibilities Develop and implement data governance practices, including data ownership, data quality controls, validation rules, metadata, versioning, and lifecycle management. Support data standardisation and harmonisation across network model datasets, systems, and stakeholders. Manage and maintain network model data, ensuring data quality ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

data structures and integration patterns supporting placement, policy, claims, exposure, and risk analytics use cases. Establish standards for data ingestion, transformation, storage, lineage, metadata, and consumption. Support the evolution of modern data platforms, including cloud-based data lakes, warehouses, and event-driven data architectures. Design data solutions across both relational … architectures. Experience with both relational and non-relational data platforms , including exposure to MongoDB and document-based data models. Strong understanding of data governance, metadata, lineage, and data quality frameworks. Experience working across complex legacy and modern technology environments. Strong stakeholder management and communication skills, with the ability to engage ...

Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Lead the design on data schemas, data storage, query apis and front to back information flows Provide product-owner challenge … support cross-asset analytics, and can scale to production risk and trading workflows. Drive strong data governance practices, including data ownership, stewardship, quality controls, metadata management, lineage and controlled data sharing. Ensure compliance with the bank’s policies, standards, regulatory expectations and industry good practice. Strategic Data Source Determination Identify ...

integration, storage, master and reference data, lakehouse and medallion patterns, microservices and reusable data services. You will apply Data Governance through ownership and stewardship, metadata, catalogue, lineage, data quality, classification, privacy, security, access and retention.You will work collaboratively with Data Owners, Data Stewards, Data Custodians, data users, Data Governance, Data … domain models, transactional and analytical structures and common business definitions. Data Governance: Practical experience applying Data Governance Architecture, including data domains, ownership and stewardship, metadata, catalogue, lineage, data quality, classification, privacy and security. Data Management & Lifecycle: Good knowledge and practical experience of architecture for master and reference data, data storage ...