51 to 75 of 180 Permanent Metadata Jobs

Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance ...

Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance ...

Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance ...

Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance ...

enterprise data model (EDM) thatleverages the latest technologies to support system performance, scalability,security, and data analytics for Threes data. What else it involves Metadata and MDM (MasterData Management) Assist in assessing theeffectiveness of existing technologies and processes in relation to thedata architecture Create necessaryimplementation/migration plans, and recommend ...

data quality from raw ingestion through to curated datasets used for reporting and analytics • Establishing and enforcing best practices around data governance, lineage, metadata, and security, including Unity Catalogue • Anticipating future scaling challenges and ensuring the platform is fit for long term growth • Acting as a technical authority across data ...

data governance, stewardship and quality Ensure regulatory submissions are fully traceable, auditable, and defensible under regulatory scrutiny Use tools like Collibra to manage metadata, definitions and business glossaries Document data lineage and promote best practice across the programme Work with teams across the business to understand and improve key datasets ...

performance. Oversee data science teams to deliver predictive models, experimentation frameworks, and ML systems that create measurable business impact. Establish and enforce data governance, metadata management, lineage, and data quality standards to ensure trust and compliance. Partner closely with DevOps, Cloud/Infrastructure, Engineering, Product, and Security to productionize data ...

scalable data products, pipelines, and Lakehouse solutions. Oversee data migration from legacy systems, ensuring quality, lineage, and continuity. Establish and improve data governance, metadata management, and documentation standards. Lead the Data Engineering contribution to major organisational programmes, including system integration initiatives. Drive continual improvement of data engineering processes, tooling ...

scalability and accuracy. Key responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. ...

advanced modeling, GenAI pipelines, and prompt optimization. Evaluate and integrateenterprise and open-source AI platformsto accelerate innovation. Define data modernization roadmap - encompassing data fabric, metadata management, and data quality frameworks. Partner with enterprise architecture to ensuredata accessibility, interoperability, and AI-readiness. Lead initiatives arounddata democratizationandAI-native platform enablement(including ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

Knowledge: * Profound understanding of data management principles, methodologies, and best practices. * Familiarity with data analytics tools, techniques, and technologies. * Strong understanding of data architecture, metadata management, and data quality techniques * Knowledge of project management methodologies, such as Agile, Scrum, or Waterfall. * Understanding of business intelligence concepts and practices. * Awareness ...

quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files, SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned ...

enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture Design, including data modelling, MDM, metadata management, and governance. Architecture design across on-prem, cloud, and hybrid environments. Translating business requirements into technical solutions with clear traceability. Presenting architecture designs ...

enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture Design, including data modelling, MDM, metadata management, and governance. Architecture design across on-prem, cloud, and hybrid environments. Translating business requirements into technical solutions with clear traceability. Presenting architecture designs ...

enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture Design, including data modelling, MDM, metadata management, and governance. Architecture design across on-prem, cloud, and hybrid environments. Translating business requirements into technical solutions with clear traceability. Presenting architecture designs ...

enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture Design, including data modelling, MDM, metadata management, and governance. Architecture design across on-prem, cloud, and hybrid environments. Translating business requirements into technical solutions with clear traceability. Presenting architecture designs ...

that enable evidence-based decision-making. Work on enablement of: Data linkage across multiple systems. API development and integration. Cloud migration of data assets. Metadata management and governance. Establishing and maintaining a data catalog. Creating new data pipelines and transforming and upgrading existing ones. Manage your workload effectively, in order ...

Integration & Engineering Provide strategic oversight of enterprise data platforms, integration tooling, and data pipelines, including real-time processing. Support the evolution of data fabric, metadata management, and integration platforms. Ensure solutions meet performance, resilience, and security standards. Risk, Security & Compliance Manage risks associated with data usage, sharing, and AI deployment. ...

Architecture (Bronze Silver Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models ...

producing dashboards/reports. Performing data cleansing, deduplication, and validation routines. Developing and documenting data protocols, standards, and policies. Governing data dictionaries, glossaries, and metadata catalogues. Supporting compliance with GDPR and other data protection regulations. Advising staff on data quality issues and delivering training to build data literacy. Collaborating with ...

Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Key Responsibilities (at a glance): Establish Data strategies and data modelling internally within the data estate Work closely with other business leaders to maintain governance … data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance ...

data, people, and process .Your responsibilities will include: Supporting the implementation of data governance frameworks, standards, and policies Helping maintain data definitions, glossaries, metadata, and data catalogues Engaging with stakeholders to understand data issues and support improvements Assisting with data quality assessments and remediation activities Supporting data classification, access control ...

enterprise-scale data ecosystems. Design and manage cloud data warehouses on Snowflake, implementing Cortex AI-powered LLM solutions and Streamlit based applications for advanced metadata enrichment and analytics use cases. Create interactive BI dashboards using Power BI to deliver actionable insights for business decision-making and integrated BI solutions with … claim encounter processing and integrate remediation workflows into enterprise data platforms. Provide advisory and implementation services for large-scale data ecosystems, covering master data, metadata, data architecture, data governance, data quality, and data modeling. Leverage cloud, web-based, and on-premises platforms-to help organizations unlock the value of their ...