51 to 75 of 340 Metadata Jobs in the UK excluding London

validation processes alongside monitoring and alerting systems such as Prometheus and Grafana to ensure reliability, performance, and operational insight across data services. Work with metadata and standards: Implement metadata capture and validation within data pipelines, including working with geospatial metadata standards where relevant, to support governance, discovery, and reuse. Support … delivery planning, estimation, and iterative improvement. Proven experience mentoring and supporting other engineers, enabling high‐quality delivery and team capability growth. Familiarity with metadata standards, including experience validating and implementing metadata, with exposure to geospatial metadata standards (e.g. ISO 19115, INSPIRE, GEMINI) being highly desirable. Desirable Skills Experience working ...

Work with BigQuery, Google Spanner, Neo4j and Vector Databases Design and implement Knowledge Graphs Develop enterprise search, indexing and retrieval capabilities Build data models, metadata and enrichment processes Implement event-driven and real-time data architectures Ensure data quality, governance, lineage and traceability Optimise platform performance and scalability Key Requirements ...

platforms commonly used in large organisations and data integration patterns Template version: March 2020 ( when complete) Experience with data governance and operating discipline, metadata, lineage, access controls, retention, and data standards Experience with Agile delivery and familiarity with relevant tools (JIRA and Confluence). Strong written and verbal communication skills ...

cloud-based data platforms and modern data architectures. Exposure to search technologies, information retrieval or data discovery solutions. Knowledge of data governance, metadata and data quality principles. Strong problem-solving skills and the ability to work across technical and business teams. Enterprise knowledge base experience is a strong preference ...

scope management, change control processes, and delivery assurance frameworks. Experience working within Data Management and Data Governance environments, including: Data Dictionary Management Taxonomy Frameworks Metadata Management Data Lineage Data Quality (DQ) #J-18808-Ljbffr ...

technologies, tools and data solutions across the business Defining architectural standards, best practices and reusable patterns across engineering teams Supporting data governance, security, metadata and data quality initiatives Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices Partnering with stakeholders to understand requirements ...

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 ...

cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data ...

Risk Managers Work with data owners, stewards and architects to identify required data sources, understand data lineage and constraints Ensure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention) Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology ...

with business owners to translate business requirements into technical specifications and solution designs that satisfies the data requirements of the business. Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like Dataplex Experience in developing solutions on GCP using cloud‐native principles ...

technology teams. Act as a trusted advisor to stakeholders at all levels. Enabling better data and AI outcomes Support the development of data catalogues, metadata management and data lineage capabilities. Partner with architecture and platform teams to improve transparency and control across data environments. Help establish the foundations for scalable ...

geodatabase design, SQL/spatial databases, data integration and analytical workflows relevant to marine/coastal consultancy. Strong understanding of data governance, quality assurance, metadata, coordinate systems and geospatial best practice. Ability to provide technical leadership and assurance on complex projects, including solution design, peer review, risk management and delivery ...

capabilities. Desirable Skills/Experience Experience leading large-scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision-making. Familiarity with cloud-native architectures ...

Engineering and Systems Engineering principles.* Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure.* Understanding of data governance, metadata management and information lifecycle management.* Familiarity with Agile, Waterfall or hybrid delivery approaches. Qualifications & Professional Development* Degree (or equivalent experience) in Business Analysis, Information Management ...

experience. Demonstrated experience serving as a data steward, lead data steward, data-domain governance lead, or equivalent business owner accountable for data standards, quality, metadata, ownership, and issue resolution in a regulated environment. Strong data analysis skills with the ability to translate data into information, and strategies into actionable plans. ...

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 ...

translating business needs into analytical outputs. Experience with the Microsoft toolset and awareness of how data engineering supports analytics. Desirable: exposure to data governance, metadata management, and master data principles. Desirable: experience supporting both internal business reporting and customer-facing reporting services. Interested? Apply now for immediate consideration ...

transformation knowledge Data warehouse and lakehouse architecture Batch, event driven and analytical data patterns APIs, integration and orchestration Logical, physical and semantic data design Metadata, catalogue and lineage implementation Data security, privacy and access control patterns DevOps/DataOps, CI/CD and infrastructure as code awareness Strong understanding ...

transformation knowledge • Data warehouse and lakehouse architecture • Batch, event driven and analytical data patterns • APIs, integration and orchestration • Logical, physical and semantic data design • Metadata, catalogue and lineage implementation • Data security, privacy and access control patterns • DevOps/DataOps, CI/CD and infrastructure as code awareness • Strong understanding ...

Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search and indexing capabilities. Implement metadata, cataloguing, enrichment and data governance processes. Develop event-driven data architectures, with Kafka experience highly desirable. Ensure data quality, lineage, governance and traceability. Develop automation ...

Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search and indexing capabilities. Implement metadata, cataloguing, enrichment and data governance processes. Develop event-driven data architectures, with Kafka experience highly desirable. Ensure data quality, lineage, governance and traceability. Develop automation ...

Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search and indexing capabilities. Implement metadata, cataloguing, enrichment and data governance processes. Develop event-driven data architectures, with Kafka experience highly desirable. Ensure data quality, lineage, governance and traceability. Develop automation ...

Minimum requirements: Experience across UK Healthcare sector or Public Sector Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

governance, integration and strategy Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups ...

/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that ...