26 to 50 of 159 Metadata Jobs

engineering team with implementing architectural, process or pattern changes Working with data governance to ensure their requirements are realised (e.g. data quality management and metadata management) Champion DataOps practices across the data team, focusing on automated testing, continuous integration/continuous deployment (CI/CD), and monitoring for data pipelines ...

Power BI and DAX capabilities, including advanced measures and calculations. Experience supporting data migration, data cleansing, or data transformation initiatives. Exposure to data governance, metadata management, and master data processes. Ability to bridge the gap between technical teams and business stakeholders. A proactive approach to improving data quality, reporting processes ...

within cloud-based environments Expertise in developing clear, user-friendly dashboards using tools such as Tableau or Looker Studio Deep understanding of music metadata, streaming analytics, and multi-platform reporting Strong knowledge of data privacy regulations and best practice in secure data management How to Apply If you are looking ...

Syndicate (MRSL) in a cross-functional team of architects from business and technology Create the design of Munich Re ́s pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise ...

user stories and acceptance criteria. Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded. Value Realisation Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives). Monitor KPIs and value metrics to ensure ...

reporting needs Deliver datasets and analytical outputs to support decision-making and regulatory reporting Support data governance activities, including data dictionaries, business glossaries, and metadata management Lead and contribute to data modelling initiatives, including current and future-state models Collaborate with Data Stewards and Data Owners to improve data quality ...

Search, Azure Functions, Azure SQL, Cosmos DB, AKS, storage services and related platform components. Contribute to AI and RAG features, including document ingestion, metadata enrichment, retrieval workflows, grounding, reasoning flows, template generation and agent orchestration. Support Microsoft Fabric and data engineering work where required, including Lakehouse patterns, pipelines, structured data ...

enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation. Design and implement knowledge foundations, including taxonomies, ontologies, metadata, and knowledge graphs to support AI retrieval and reasoning. Establish scalable patterns for data ingestion, transformation, and retrieval across structured and unstructured data sources. Support the development ...

Title : Data Governance Analyst – Metadata Target Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: CompetitiveEastleigh, Hybrid working with travel to Ageas offices when required. Closing Date for applications: Friday 3rd July Data Governance Analyst – Metadata: At Ageas, we are continuing to build a strong data-driven culture … looking for a Data Governance Analyst – Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. This is a fantastic opportunity ...

Dataflow Pub/Sub Python APIs and containerised services Strong data architecture experience, including conceptual, logical and physical data modelling Experience establishing governance frameworks, metadata management, data quality standards and AI-ready data foundations Expertise in Infrastructure as Code and CI/CD delivery practices Strong stakeholder engagement and technical ...

pipeline models. Experience supporting and influencing technology stack decisions, aligning solutions with business requirements and strategic objectives. Experience defining data architecture frameworks, including metadata management, integration patterns, and data warehousing or BI architectures. Ability to create logical and physical data models, data dictionaries, and mapping documentation. Strong understanding of data ...

financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects). Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239). Develop and advocate strategies for federating data responsibility across different business ...

platform codebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extending test coverage without being asked Engage with AI agents for test authoring, investigation, result analysis, and documentation — working fluently in an AI-augmented engineering environment ...

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers ...

managed effectively. The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage . You'll play a key role in shaping data strategies, defining controls, and supporting the delivery of enterprise-wide data ...

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 ...

infrastructure projects. • Experience with data visualisation tools (e.g. Power BI) or data analysis techniques is a plus. • Understanding of data governance, data quality, or metadata management is advantageous. ...

modernization and large-scale migration projects. Proven ability to coach and mentor others effectively in a senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus ...

find new medicines. It is a full‐stack shop that brings together product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our focus is on creating a next‐generation data experience for GSK’s scientists, engineers ...

Owning the end-to-end lifecycle of data products (from creation through to optimisation) Applying and monitoring data quality, validation and governance standards Managing metadata, lineage, data contracts and compliance requirements Working closely with stakeholders to understand data usage, dependencies and impact Ensuring data products meet quality, performance ...

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 ...

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 ...

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 ...

prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers ...

/event telemetry. Ensure data flows are resilient, observable, and architected for reliability and cost efficiency. Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture … experience designing ETL/ELT pipelines, medallion architectures, and semantic models. Strong proficiency in SQL, Python, and cloud-based data engineering tooling. Experience with metadata and governance tools (Purview, Unity Catalog, Snowflake Governance, Fabric Governance). Experience designing data platforms to support analytics, BI, operational reporting, and AI/ ...