1 to 25 of 50 Remote/Hybrid Metadata Jobs in England

transformation programme. Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement ...

scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.* Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.* Develop transitional data architectures and road maps in alignment with Omnia digital transformation ...

open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architecturesExperience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirementsPersonal AttributesStrong business acumen with ability to translate business requirements into technical architecture and understand how data enables ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding of data security, access controls, and information assurance Confident working with senior ...

Azure Data Factory Strong experience implementing Lakehouse architecture in greenfield environments Strong knowledge of data modelling and enterprise data architecture Experience implementing data governance, metadata and security frameworks Experience working across enterprise-scale cloud data landscapes Strong understanding of performance optimisation and data management strategies Experience with PySpark ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

working independently with high levels of ownership and autonomy Nice to Have • CI/CD and Infrastructure as Code experience • Experience with governance and metadata tooling • Exposure to data observability and monitoring frameworks • Previous experience working in fast-paced agile delivery environments This is an excellent opportunity to join ...

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 ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI‐driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data governance, metadata, and data-quality frameworks. Experience with DevOps and CI/CD workflows. Desirable Skills Experience with ERP/CRM integration. Exposure to event-driven architectures. Experience ...

Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective … Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In‐depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud ...

architectural assurance and constructive challenge within change delivery Collaborate with engineering and delivery teams to ensure scalable and sustainable solutions Promote strong data governance, metadata, lineage, and quality practices Support architecture maturity and embed architectural best practice across the organisation Desirable Experience Experience within regulated environments Understanding of data retention ...

Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Document lineage across AWS S3, Hive Metastore, Unity Catalog and downstream consumption layers. Required Skills ...

data governance, data architecture, or enterprise data management. Proven experience designing effective data operating models and governance frameworks. Expertise in data quality, ownership, metadata, and reporting structures. Ability to navigate complex enterprise system landscapes. Exceptional stakeholder engagement skills across business and technology teams. Preferred Experience: Familiarity with retail, retail media ...

layer, prompt management and evaluation Platform & Integration Design Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs Design configurable, metadata-driven framework for multi-LOB onboarding AI & GenAI Enablement Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows Establish ...

presentations, negotiations, and at industry events. Stay informed on emerging technologies and trends, including e-invoicing mandates, artificial intelligence, e-signatures, format conversion, and metadata enrichment Collaborate with UK and global teams to share best practices and support sales success About You You are an experienced Account Executive with ...

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 ...

Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python ...

usage Support data migration and integration activities, ensuring accuracy and completeness Identify and resolve data discrepancies and mapping issues Maintain strong governance, including metadata documentation and traceability Uphold high standards of data quality, security, and compliance Contribute to best practices and continuous improvement across the data function What ...

Data Security Working with the SERC Data Manager to continually maintain robust systems and processes, and seek improvements in data security, for example embedding metadata into spatial outputs etc. Ensuring backup arrangements are adequate, ensuring data is as secure as it can be and that recovery procedures work as expected. ...

both internal and external users. What you will do/bring to the role o Lead the design, development and implementation of ontologies, taxonomies, metadata schemas and knowledge graphs, embedding them into NICE systems and services. o Develop semantic search and retrieval capabilities, helping users find information more effectively across ...

authoritative data sources Facilitate structured sessions with SMEs and data office to validate definitions, resolve discrepancies, and capture requirements Define and embed modelling standards, metadata requirements, and quality controls aligned to the data governance framework Operate within a factory model, working in an iterative, high-throughput approach to deliver multiple ...

LLMs and agentic systems. Design systems that make content intelligence signals available to downstream teams and products Improve automation for content quality, safety, and metadata enrichment at scale Collaborate with product, policy, and engineering teams to translate content intelligence into user impact Contribute to evaluation frameworks, data pipelines, and annotation ...