176 to 200 of 869 Metadata Jobs in England

workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data ...

designing scalable batch/stream processing patterns.Deep lakehouse and data platform expertise (e.g., Delta Lake concepts, schema evolution, data quality frameworks, lineage/metadata, and governance patterns) applied in production environments.Strong DevSecOps and platform engineering capability, including CI/CD design, automated security/quality gates, observability (logs/metrics ...

contribute to the platformcodebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extendingtest coverage without being asked Engage with AI agents for test authoring, investigation, resultanalysis, and documentation — working fluently in an AI-augmentedengineering environment. What ...

support transparency, reproducibility and effective knowledge sharing across the wider team. Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements. Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively ...

practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical … Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions and an understanding of AI governance. Experience with visualisation platforms such as Power BI, Tableau ...

clients address their biggest data challenges, focusing on establishing robust data governance frameworks, improving data quality, managing data migrations, and implementing effective master and metadata management strategies.You will design, implement, and maintain comprehensive data management solutions, ensuring data integrity, accessibility, and compliance across various systems and platforms. In your role … assets.Oversee and manage complex Data Migration projects, including strategy development, planning, execution, and post-migration validation, ensuring minimal disruption and data integrity.Develop and implement Metadata Management strategies and solutions, including data cataloguing, business glossaries, and data lineage tracking, to enhance data understanding and governance.Drive the implementation and ongoing management ...

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 ...

Perform end-to-end testing of SAP Datasphere components including: Spaces, Connections, Data Flows, Views, and Analytical Models. Semantic modelling, business layer definitions, and metadata structures. Validate data pipelines, transformations, lineage, and modelling consistency across environments. Ensure alignment of Datasphere models with enterprise architecture and reporting needs. HR Domain Testing ...

delivery pipelinesSupport the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectivesAnalyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcementCollaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated ...

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 ...

across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. Understanding ...

systems integrity through consistent and well-maintained master data. What we are looking for from you: Strong understanding of data modelling, data dictionaries, and metadata management. Hands-on experience managing product specification data (e.g., BOMs, attributes, technical specs). Familiarity with ERP systems (e.g., SAP, Oracle, Dynamics) and how they ...

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 ...

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 ...

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 ...

across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. Understanding ...

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 ...

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 ...

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 ...

meet specific needs.Data Engineering: Ensure efficient data flow between databases and backend systems.MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.Engineering Software for Production: Build and deploy production-grade software for machine learning ...

Google Analytics, Google Tag Manager, Amplitude etc. Experience in capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantageApplied experience of metadata analysis, fields/entity, and data lineage, sql/no sql databasesExperience with one of Azure/AWS/GCPETL tools like Informatica, Alteryx ...

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 ...