276 to 300 of 346 Metadata Jobs in London

will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data quality KPIs … complex or regulated environment. Good working knowledge of UK GDPR and its practical application within a regulated environment. Experience with data catalogue, metadata and data lineage tools, such as Microsoft Purview or similar platforms. Knowledge of master data management principles and data quality management practices. Strong stakeholder management and influencing ...

including data flows, data domains and data ownership considerations. Specify Apache NiFi architecture patterns, flow standards, interface contracts and reusable ingestion components. Define governance, metadata, lineage, auditability, security monitoring and data quality requirements. Produce High Level Designs, Low Level Design principles, Architecture Decision Records and design assurance material. Define … JSON, Parquet, Avro and proprietary formats. Experience designing solutions that operate across multiple security classifications and secure domains. Strong knowledge of data governance, lineage, metadata management, data quality, access control and auditability. Ability to define clear interface contracts, data mappings, transformation rules and secure data exchange patterns. Strong stakeholder engagement ...

strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards. Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets. Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry … data testing, validation, and ad-hoc analysis; ability to guide users on how to access and use data products effectively. Experience with data onboarding, metadata management, governance workflows, and compliance in control-heavy or regulated environments with multiple lines of defense. Strong stakeholder engagement and communication skills; ability to translate ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication and stakeholder ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks ...

Help teams find, understand, and trust data by building a modern metadata marketplace. You’ll shape a strategic product used across Asset Management to strengthen governance and accelerate delivery. As a Product Manager in the Marketplace product team within Asset Management Data Strategy , you will define and deliver capabilities that … that manage data domains and subdomains, high quality data products and the semantics that describe them. You’ll also evolve the marketplace as the metadata repository that supports lineage, data contracts, and data quality, powering AI. Job responsibilities Execute the product vision and strategy for Marketplace capabilities that strengthen data ...

platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with ...

across the full delivery lifecycle, from planning and mobilisation through implementation, testing, go-live and transition into BAU. Focus: Alation | Profisee | Data Governance | MDM | Metadata | Agile Delivery Your responsibilities will include: Owning delivery plans, roadmaps, milestones, dependencies, resources and release schedules for Alation and Profisee. Leading Agile delivery teams, including … delivery tracking. Acting as the key interface between business stakeholders, data governance, technology teams, vendors and implementation partners. Providing technical oversight across platform configuration, metadata onboarding, MDM deployment, integrations, testing and go-live. Running workshops, governance forums and steering meetings to drive decisions and remove blockers. Managing RAID, risks, issues ...

time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code approaches Optimising and troubleshooting pipelines for performance, reliability and scalability Developing reusable … formats Proficiency in Python and/or TypeScript Understanding of CI/CD, Git and software development lifecycle practices Knowledge of data governance, security, metadata, lineage and master data Strong stakeholder communication and ability to translate business requirements into technical solutions Defence, Government or other secure-sector experience would ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics. Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data … lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability. Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with ...

shape 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 the knowledge … manage 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 (e.g., Qlik, Power BI, Tableau ...

scrums ceremonies Work closely with engineering, data, and AI teams to clarify requirements, unblock delivery, and ensure platform quality Define and enforce governed taxonomies, metadata models, and ontologies to ensure findability, consistency, and AI-readiness across knowledge assets Establish data contracts between knowledge producers and consumers, capturing lineage, quality standards … Agile delivery model Demonstrated experience defining and delivering enterprise data or knowledge management solutions at scale, including taxonomy design, information architecture, and metadata governance Strong Agile delivery discipline: proven ability to manage complex backlogs, write effective user stories, and lead cross-functional delivery teams Experience working in a regulated industry ...

Develop and execute data quality monitoring processes, identifying and coordinating the resolution of data quality issues Establish and maintain data dictionaries, business glossaries, and metadata documentation to ensure consistent understanding of data assets Support the management of data governance forums and communities of practice to facilitate knowledge sharing Assist … complex information clearly and effectively. Technical Proficiency : Familiarity with data management tools and software, and an understanding of database concepts is essential. Experience with metadata management and data quality tools is helpful. Demonstrated expertise in Power BI, including handling large volumes of data and building insightful dashboards to support quality ...

research, and automated analytical workflows are evolving and identify high‐value use cases. Translate these emerging client needs into requirements for making FIG content, metadata, and analytics AI‐ready, contextualized, discoverable, and accessible through MCP and related technologies. Partner with the AI Foundry, Applications, Content, and Engineering teams to develop … market, client acquisition, adoption, cross‐sell, retention, or other commercialization activities. Data and Technology Fluency: Strong understanding of financial datasets, data quality, metadata, applications, data feeds, APIs, and modern data‐delivery workflows. The successful candidate does not need to be an engineer but must be able to work effectively with ...

design an interconnected data model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling … requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure practices are well understood & followed. Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions. Promote FAIR data principles across the modelling lifecycle. You’ll need to have: *Please note we use years ...

stewardship, standards and accountability. The Head of Data Governance will partner with Data Engineering, Data Analytics, BI, Risk, Audit and Compliance to strengthen quality, metadata, lineage and controls. Focused on adoption and trusted decision-making, the Head of Data Governance will help build a culture where data is consistently understood … regulatory metrics and core operational data Data Quality and Issue Resolution: Lead the resolution of data conflicts, inconsistencies and governance issues across business areas Metadata, Lineage and Traceability: Develop and maintain enterprise-wide metadata management, data lineage and traceability capabilities Risk, Audit and Compliance: Act as a key interface ...

opportunities. About the Role As a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … governance standards and escalate where standards are not met Embed governance requirements into delivery and change processes Drive the completeness, quality, and discoverability of metadata and catalogue information Monitor data quality outcomes, identify gaps, and support prioritisation of issues Promote transparency through the capture of data lineage and coordination across ...

ownership of analytical judgement and verification. Initial Focus Establish foundational, governed and permission-aware data assets in Microsoft Fabric and Databricks, including curated datasets, metadata, lakehouse data models and quality measures. Develop reusable pipelines in Microsoft Fabric and Databricks for entity resolution, enrichment, metadata, relationship mapping and data-quality monitoring. ...

Role purpose Own the day-to-day operation of a global marketing taxonomy governance service. The role maintains approved taxonomy and metadata standards, manages controlled change, monitors compliance and helps markets and delivery teams apply naming and classification standards consistently. Agency Omnicom Media Job Function Data and Analytics Job Subfunction … Data Engineering Job Description Own the day-to-day operation of a global marketing taxonomy governance service. The role maintains approved taxonomy and metadata standards, manages controlled change, monitors compliance and helps markets and delivery teams apply naming and classification standards consistently. Working across business, media, data and reporting teams ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex modalities such … genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers as the team scales, while ...

engineering and scalability across data ingestion, storage, streaming, query, and analytics platforms. Design and build self-service data platform capabilities including APIs, data products, metadata services, and developer enablement frameworks. Implement cloud-native platform engineering practices using Kubernetes/OpenShift, Terraform, CI/CD, GitOps, and Infrastructure as Code. Lead … metadata, lineage, and data discovery capabilities using technologies such as DataHub, OpenMetadata, or Apache Atlas to improve platform transparency and usability. Ensure platform security and regulatory compliance through fine-grained access controls, encryption, secrets management, auditing, and secure-by-design engineering principles. Bonus for knowledge of: Automation/configuration management ...

Data & AI department, working across London and Sofia. The team is responsible for data ingestion, data governance, security master maintenance, data quality assurance, metadata curation, usage analysis and market data permissions. The function aims to improve Man’s investment data estate by building scalable data operations, accelerating data onboarding, improving … resolve data quality issues before they impact downstream users; drive automation of daily operational tasks. Support broader Data Management responsibilities including data onboarding, metadata curation, and governance as required. Required 5+ years’ experience in a market data, data operations or data management role at a proprietary trading firm, hedge fund ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management. Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable Experience in AI‐related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. What You’ll Love About Working Here As a Consultant/Senior Consultant, you will have the chance to shape responsible ...