16 of 16 Metadata Jobs in Berkshire

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven organisation committed ...

develop a high‐performing team of Data Engineers and Data Analysts, setting clear expectations for delivery quality and technical excellence. Embed data quality controls, metadata and lineage requirements into engineering workflows in partnership with the Data Governance & Quality Lead. Collaborate with operational, tooling and transformation teams to translate business requirements ...

concepts, including human-in-the-loop decision-making, explainability, traceability, evaluation, monitoring, and governance. Familiarity with scientific data, model lifecycle management, data provenance, reproducibility, metadata, cataloging, and data governance principles. Ability to translate complex R&D or business needs into clear product strategies, measurable outcomes, and scalable solutions. Strong stakeholder ...

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 ...

foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teams* Define and deliver ...

customer data extracts for Finance and business stakeholders.* Prepare datasets for recurring reporting, forecasting, budgeting and analytical requirements.* Maintain product and customer hierarchies, metadata and master-data validation.* Perform reconciliations and validation checks across source data, reports and dashboards.* Investigate discrepancies with relevant data owners and maintain controlled reporting documentation. ...

Data Governance & Quality Assurance Oversee end-to-end data governance and quality assurance across all PMO datasets. Establish and enforce data standards, validation rules, metadata structures, and assurance processes. Ensure PMO data is accurate, consistent, reliable, and fit for decision-making. Maintain robust data structures, controlled vocabularies, data lineage … Project for the Web, Planview, or equivalent enterprise platforms, including workflow configuration, integrations, permissions, and customisation. Deep understanding of data architecture and governance, including metadata management, controlled vocabularies, data lineage, validation rules, role‐based access controls, and regulatory or compliance considerations. Practical knowledge of Extract, Transform and Load (ETL), data ...

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 ...

open-source projects. ReST, GraphQL, gRPC API Design. Docker, OCI, ORAS, Kubernetes (k3s, k8s). Sigstore, Cosign, Keyless Signatures, Signature Attestation. Grafeas, Kritis, Metadata Provenance. Cultural Values We're Looking For A bias for action and a passion for what we do: A positive attitude and bias for action ...

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 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 ...

risks, dependencies, data governance, security, regulatory constraints, and vendor or partner relationships. Ensure data solutions align with FAIR principles, data quality, traceability, provenance, auditability, metadata, and standardisation requirements. Partner with technical leads and architects to deliver scalable, reusable, secure, and enterprise-aligned solutions. Monitor relevant market trends and emerging technologies …/or field environments, including data capture, experimentation, trial execution, automation, sensors, imaging, geospatial data, and data standards. Knowledge of data integrity, discoverability, metadata, taxonomy/ontology, traceability, provenance, auditability, and quality controls across data pipelines. Experience working with data governance, security, architecture, quality, compliance, and regulatory requirements. Strong stakeholder ...

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 ...