1 to 25 of 37 Metadata Jobs in the East of England

deployment, and monitoring for data services 4. Data Quality & Governance Implement data validation, profiling, and quality checks Work with data governance teams to enforce metadata standards, lineage, and catalogs 5. Collaboration Collaborate with data engineers, BI teams, analysts, and product teams Translate business requirements into scalable data solutions Your Profile ...

secure, reliable, and scalable data pipeline architecture. Ensure robust implementation and operation of secure data infrastructure. Data Governance Implement strong governance frameworks covering stewardship, metadata, and privacy controls. Champion best practice in data quality, lineage, and lifecycle management. Stakeholder Engagement Build strong relationships with senior business leaders and key partners. ...

best practices aligned with organizational goals Collaborate with business and technical stakeholders to translate requirements into robust data solutions Support data quality, lineage, and metadata management initiatives Key Skills & Experience Essential: Proven experience as a Data Architect in complex enterprise environments Strong background in Customer Identity Resolution (CIR), including matching ...

security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements. Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards. Operational Excellence: Build resilient, high-performing data solutions capable of supporting financial reporting workloads. Develop and maintain reusable data engineering patterns ...

global data standards within finance data domains Enable data product governance across lifecycle activities Improve AI-readiness through better data structure, quality, and metadata Map dependencies, risks, and delivery sequencing across teams Establish clarity on ownership, accountability (RACI), and decision-making What We’re Looking For Strong delivery background (Project ...

models, and lifecycle management Define and monitor data quality metrics and standards Collaborate with data owners and stewards to resolve data quality issues Implement metadata management processes and tools Maintain data dictionaries, glossaries, and lineage documentation Monitor access controls, encryption, and risk mitigation strategies Conduct training and awareness programs ...

scale data needs. Evaluate, recommend, and drive the adoption of modern data technologies, tools, and patterns (e.g., data lakehouse, ETL/ELT, event streaming, metadata management). Data Practice: Help establish the foundational processes for data modelling, data quality, metadata, lineage, security, and governance. Build and lead a small team ...

Google Analytics to Interpret User Behaviour, Generate Actionable Insight & Report on Digital Performance SEO Best Practice: Working Knowledge of On-Page & Technical SEO, including Metadata, Site Structure, Page Speed & Search Visibility Web Accessibility: Solid Understanding of WCAG 2.1 AA Standards & How to Apply Them in Practice across Websites, Content & Digital ...

applications, including bespoke development, data capture, production of maps, statistical information and development of records Manage the process of maintaining the GIS metadata library and liaise with data owners to ensure its completeness, currency and accessibility Liaise with other related Corporate IT projects to ensure that modernising government initiatives fully ...

applications, including bespoke development, data capture, production of maps, statistical information and development of records 4. Manage the process of maintaining the GIS metadata library and liaise with data owners to ensure its completeness, currency and accessibility 5. Liaise with other related Corporate IT projects to ensure that modernising government ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...

expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions ...