76 to 100 of 633 Permanent Metadata Jobs

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

Python and SQL to ingest and transform commodities data from multiple vendor and internal sources. Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand, discover, and reuse. Schedule, monitor, and manage data pipelines using Airflow or similar workflow orchestration tools to ensure reliable ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

solutions, documenting them as GAPs and aligning them with Architects Data Governance & DiscoveryFacilitate data discovery and enhance data management processes using platforms like Open Metadata Ensure KPIs and documentation remain accurate and up to date Support data quality and compliance standards across the organization Innovation & OperationsInitiate and experiment with ...

network topology, entity relationships, dependency mapping, service impact, and fault propagation.* Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.* Define network data quality rules, correlation logic, and entity resolution methods.* Create reusable analytical models ...

network topology, entity relationships, dependency mapping, service impact, and fault propagation.* Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.* Define network data quality rules, correlation logic, and entity resolution methods.* Create reusable analytical models ...

role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise applications. Strong problem-solving skills, with the ability to understand existing technical solutions ...

data mapping documents to scalable technical implementations Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage Implement reusable, metadata-driven, and performance-optimized data integration patterns Enforce coding standards, version control, and CI/CD practices Define and implement unit testing, regression testing ...

Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast‐paced agile environments, making pragmatic trade‐offs and establishing lightweight guardrails ...

Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails ...

meaningful reporting and performance measurement solutions. Writing SQL scripts and supporting the automation of reporting processes to improve efficiency and consistency. Supporting data quality, metadata management and data governance activities, helping to ensure information is accurate, robust and reliable. Producing and maintaining report, dashboard and scripting documentation, alongside supporting user ...

working with large, complex datasets. Experience developing dashboards and visualisations to communicate insights clearly and effectively. Understanding of data governance, data quality, and metadata management practices. Familiarity with ERP systems (Oracle preferred) and enterprise data environments. Knowledge of AI, machine learning, or automation use cases in analytics, audit, or risk ...

practices and building data-quality, validation and monitoring workflows.* Strong practical understanding of data modelling, data products, pipelines and semantic models, including data governance, metadata, lineage, quality and entitlement considerations.* Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing ...

analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot essential to be successful ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

platform architectures.* Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration.* Understanding of master data management, data governance, metadata, lineage, and data quality.* Understanding of security, privacy, compliance, and data integrity requirements.* Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions. ...

reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications Not essential ...

Powerpoint presentations, Word documents and unstructured Excel spreadsheets. Build an AI-Ready document infrastructure that can classify documents, handle versioning, track provenance, and manage metadata, auditability and permissioning. Implement frameworks for strictest confidentiality and privacy protections, including access controls and security roles, consent tracking, data retention and data deletion management. ...

practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data products, pipelines and semantic models, including data governance, metadata, lineage, quality and entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing ...

measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding ...

/data pipelines Data modelling, lakehouse architecture and modern data platforms Azure data services API and third-party system integration Data quality, governance, metadata and lineage Git, CI/CD and engineering best practices This role would suit someone who enjoys solving complex data challenges, thinks beyond individual pipelines ...