14 of 14 Metadata Jobs in Slough

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 ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

Cloud Salesforce Service Cloud Salesforce Experience Cloud Apex Development Lightning Web Components (LWC) Salesforce Flows SOQL & SOSL Salesforce Security Model Sharing & Visibility Design Custom Metadata & Custom Settings Integration Skills REST APIs SOAP APIs Platform Events Named Credentials Connected Apps OAuth Authentication Middleware Integration Patterns DevOps & Tools Salesforce DX Git Azure ...

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 ...

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 ...

Technology & Operations data domains. Partner with business, product and engineering leaders to establish data ownership, accountability and governance standards. Drive adoption of data governance, metadata, lineage, quality and data product standards across multiple organizations. Champion the onboarding, governance and lifecycle management of data products within the Data Marketplace. Define, monitor … leading enterprise-scale data governance and stewardship programs. Experience driving data ownership, accountability and governance across large, matrixed organizations. Experience with enterprise data catalogs, metadata management and lineage platforms (e.g., DataHub, Collibra, Informatica, EDC or similar). Strong knowledge of database technologies, data warehousing, cloud data platforms, and modern data ...

Lead to join the Patient Solutions Digital Strategy & Innovation team in Slough, UK (Windlesham from 2027). You will establish enterprise data foundations, govern metadata, ontologies and data standards to enable scalable, AI-ready data across R&D and operations. You will collaborate with scientific, digital and enterprise teams, design ...

core components of its investment and research processes. Requirements: 8+ years in data architecture or data platform roles, including 3+ years in metadata management, data governance or data cataloguing across a large and diverse data estate. Architectural experience with enterprise data catalogues (e.g. DataHub, OpenMetadata, Collibra or similar); understanding … concepts matters more than any specific product. Solid knowledge of metadata and lineage standards (e.g. OpenLineage, Open Data Contract Standard or similar) and experience integrating with proprietary in-house metadata and event models. Proven design of federated (hub-and-spoke) metadata architectures: a central layer for identity, hierarchy and links ...

data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. … investing in self-service onboarding, templates, and engineering enablement tooling. Data lineage & observability Implement end-to-end data lineage (source platform vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution. Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable improvements ...

month contract - Glasgow Hybrid (3 days onsite) I am looking for an experienced Python Developer with experience of Collibra to deliver robust data structures, metadata models and automation tools for our client in central Glasgow. What you'll focus on: Turning regulatory, risk and metadata requirements into asset models … design, serialisation and API development. Practical experience with JSON, YAML, REST APIs and SQL in data-heavy environments. Extensive experience with Collibra or similar metadata management platforms, including asset model and metamodel design, configuration and governance operating models. Background in metadata and logical data modelling, taxonomies, lineage, data quality, business ...

data foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape how data … govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage, interoperability and discoverability across structured and unstructured data. Drive the adoption of AI-enabled approaches to metadata generation, curation ...

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 ...

seeking to engage a senior data architecture leader for a global investment management client headquartered in London. The role focuses on building federated metadata architectures, semantic layers, and knowledge graphs to enable AI-powered data discovery in regulated financial environments. You will work with enterprise data catalogues and metadata standards … guiding client sessions, and defining how machine-derived metadata is harvested and validated by data stewards. #J-18808-Ljbffr ...

structured data — including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes — into AI‐powered discovery pipelines. Advance Elsevier’s knowledge graph and metadata integration strategy, linking research and health data for more context‐aware retrieval. Apply cutting‐edge research in information retrieval, NLP, embeddings, and generative … Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power ...