1 to 25 of 138 Remote/Hybrid Permanent Metadata Jobs in London

that unify multiple business units onto a single Google Cloud Platform. Key Responsibilities: Lead the design and delivery of scalable data ingestion patterns and metadata-driven pipelines. Establish engineering standards, reusable frameworks, and best practices across the team. Provide technical oversight and guide engineers to avoid one-off point … data ingestion simple, repeatable, and automated for platform users. Required Skills & Experience: Strong, demonstrable GCP data engineering experience. Proven background with ingestion engines and metadata-driven pipelines. Ability to define patterns, architecture, and standards across a multi-functional team. Strong understanding of reusable cloud engineering approaches. The role requires ...

leading the definition of MDM. Lead Data Architect, key responsibilities: Define the target Enterprise Data Platform and Lakehouse architecture Establish standard for data products, metadata, lineage, governance, security and analytics Lead the design of a MDM framework Define data ownership, stewardship, authoritative sources Develop MDM architecture patterns, governance frameworks … data integration Help establish Enterprise Data and Integration Architecture capability Support development of an Integration Centre of Excellence operating model Data Architect, MDM, Governance, Metadata, Lineage, outside IR35 Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

that foundation from the ground up. The Role This is a genuinely greenfield opportunity. As Taxonomy Lead, you'll design the approach itself - the metadata standards, categorisation and tagging structure that will let teams across the business find, allocate and repurpose content efficiently. You'll align this to frameworks like … chance to shape a taxonomy strategy from scratch rather than maintain someone else's. What You'll Be Doing Design and build taxonomies and metadata standards from the ground up Define the approach to categorisation, tagging and content classification Align classification systems with frameworks such as CEFR Identify how existing ...

Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra.Data Modelling ...

defining integration patterns across core WAM platforms. Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes. Act as a subject matter expert, translating complex technical concepts ...

workloads for performance and cost, and embedding quality checks and validation into every pipeline Implementing governance in practice: Unity Catalog, Azure Purview, data lineage, metadata and monitoring Automating deployments through CI/CD in Azure DevOps and promoting DevOps practice across the team Working directly with economists and data scientists ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

experience with Python development for automation, API integrations, scripting, and cloud-native application development. Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases ...

structureContribute to building strong, collaborative ways of workingStrategic ContributionLead development of the unified Lending data model, a key strategic initiativeContribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use casesSupport the organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data ...

cloud‐native orchestration services Event streaming: Kafka and cloud‐native event‐streaming technologies Data modelling: Dimensional, analytical and domain‐oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products: Reusable, discoverable and well‐governed data products and marketplaces DataOps and observability: Testing, monitoring, operational controls … strong software engineering practices to data platforms, including testing, CI/CD and infrastructure‐as‐code. Establishing effective approaches to data quality, observability, governance, metadata and security. You can lead data platform modernisation and migration, including coexistence, cutover and decommissioning. Making pragmatic technology choices and understanding the trade‐offs between ...

procedures across the organisation Drive data quality improvement, partnering with data owners and stewards to identify and resolve issues Own data catalogue and metadata management, ensuring data is discoverable, trusted and well-documented Collaborate across business and technology teams to deliver strong customer and business outcomes Engage with Risk ...

Linear Playout, Workflow Management or Schedule Management solutions Strong working knowledge of Amazon Web Services solutions Understanding of various broadcast standards, video, audio and metadata variants across transmission, VOD and streaming An excellent communicator with the ability to investigate, prioritise and resolve issues in a timely manor Comfortable working closely ...

schemas and API strategies to meet customer and regulatory needs. You will partner with IT Architecture and product teams to ensure scalable data products, metadata governance, and a roadmap for AI-enabled data access. Fluency in English is essential, German is a plus. #J-18808-Ljbffr ...

EnglishDesirable requirements:Good understanding of drug development processHigh level understanding of the regulatory requirements for computer systems and toolsKnowledge of Quarto, workflow automation, or metadata-driven reporting.Participation in open-source projects within the pharmaceutical sector, such as those associated with R Consortium, pharmaverse, openpharma or openstatware. Benefits & RewardsAt Novartis ...

Hudl’s platform.As a Senior Engineer, you’ll help shape the technical direction of the Global Sports Library (GSL), the backbone that connects identities, metadata and game context across Hudl products. You’ll design and evolve APIs, distributed systems and large-scale data pipelines that ensure Hudl products operate from ...

extending them—such as modifying data augmentation strategies, adjusting FFT parameters, incorporating auxiliary tasks, and optimizing loss functions.Experience with data-driven algorithm tuning using metadata evaluations and advanced acoustic simulations is highly desirable.Your Contribution:We welcome a broad range of expertise, and while our requirements aim to inspire interest ...

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

data management transformation in its Chief Information Office team. The Data Management Lead will establish data quality frameworks, ensure regulatory compliance, and manage metadata and data lineage for core assets across customers, policies, and claims. The role emphasizes enterprise data governance, collaboration with architecture and delivery teams, and secure handling ...

large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities. Collaborate with Applied Scientists, Data Engineers, Product Managers, and business stakeholders to productionise innovative machine learning ...

escalation/support path.Build and enhance operational dashboard, comprising of all critical and non-critical path datasets; effectively interpret existing data and create new metadata to identify inefficiencies of the entire trading lifecycle.Build and maintain scripted toolset to enhance areas of data analytics, application configuration/deployment, data consolidation ...

summarization, question 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-ready Python ...

move quickly while maintaining reliability and scalability.This role focuses on building and optimizing systems for large-scale multimodal datasets, including video, embeddings, and metadata, ensuring they are fast, reliable, and production-ready.The RoleWe're looking for experienced ML Systems Engineers to join our Research Services team and help build ...

over the lifecycle of corporate data assetsUsing categories of products that can be used to collect, integrate, store, visualise and govern data and metadataDefine metadata to provide search ability and governance (including Records Management) for unstructured data.Not only will your team be directly making a huge impact upon the systems ...

Copilot Studio.Ability to build or integrate with document stores, structured registers and unstructured files, including Word, PowerPoint, Excel, PDFs, SharePoint libraries, metadata and version histories.Strong general software engineering fundamentals: clean code, modular design, testing, CI/CD, secure deployment and maintainability. Ability to estimate cost, usage and operational run-rate ...