1 to 25 of 74 Remote/Hybrid Permanent Metadata Jobs

optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data ...

designing enterprise ETL/ELT and data integration architectures Strong BI architecture experience (Power BI, Tableau, or equivalent) Solid understanding of data governance, security, metadata, and data quality frameworks Ability to translate complex business requirements into scalable architectures Strong consulting and stakeholder engagement experience Desirable Exposure to AI/ ...

role. You’ll also need to have experience with the adoption and implementation of enterprise data catalogues to improve data discoverability, lineage visibility, and metadata management, supporting a culture of data‐driven decision‐making. In addition, you’ll need to demonstrate expertise in designing and overseeing complex architectural patterns using ...

methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production support Strong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controls Excellent documentation skills with the ability to create and maintain solution designs, data dictionaries, business ...

planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration, ETL and ELT principles • Cloud-based ...

Junior Data Engineer and Analyst on modern engineering standards and secure coding practices; - Work with the Software Engineering Manager to establish naming conventions, metadata standards, and data residency/sovereignty protocols. Stakeholder Engagement & Continuous Improvement - Constructively challenge stakeholders and teams where necessary on scope and delivery to ensure deliverables remain ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

quality and enrichment, focusing on the most critical data first and tracking the tangible value-add with data consumers. Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. Manage Risk & Alignment: Engage with stakeholders ...

understand London Market business processes and translate requirements into data architecture. Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability. Design data governance, security, access control, and compliance frameworks for insurance data. Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system … lake, data mart, and semantic layer architecture. Experience in defining data quality, data validation, reconciliation, audit, and exception handling frameworks. Experience with data governance, metadata management, data lineage, data catalogue, and data privacy controls. Experience with Azure security concepts including Managed Identity, Azure RBAC, Key Vault, ACLs, private endpoints ...

Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

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. ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI‐driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

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 ...

integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data governance, metadata, and data-quality frameworks. Experience with DevOps and CI/CD workflows. Desirable Skills Experience with ERP/CRM integration. Exposure to event-driven architectures. Experience ...

agentic AI platforms, governance, and safe-action design* Familiarity with security operations ecosystems and analyst workflows* Experience with:* Telemetry and observability systems* Data lineage, metadata, and data quality frameworks* Canonical data models and analytics-ready datasets* Background in tooling integration and platform standardization (golden paths/paved roads)* Experience aligning ...

platforms, governance, and safe-action design. Familiarity with security operations ecosystems and analyst workflows. Experience with telemetry and observability systems. Experience with data lineage, metadata, and data quality frameworks. Experience with canonical data models and analytics-ready datasets. Background in tooling integration and platform standardization (golden paths/paved roads ...

Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective … Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In‐depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud ...

architectural assurance and constructive challenge within change delivery Collaborate with engineering and delivery teams to ensure scalable and sustainable solutions Promote strong data governance, metadata, lineage, and quality practices Support architecture maturity and embed architectural best practice across the organisation Desirable Experience Experience within regulated environments Understanding of data retention ...

agentic AI platforms, governance, and safe‐action design. Familiarity with security operations ecosystems and analyst workflows. Knowledge of telemetry and observability systems, data lineage, metadata, and data quality frameworks. Experience with canonical data models and analytics‐ready datasets. Background in tooling integration and platform standardization (golden paths/paved roads ...

design against. Data & Systems Engineering Skills Data Architectures: Deep familiarity with Data Mesh and Data Fabric approaches, distributed data layer deployments, and data product metadata standards. Big Data & NoSQL Stack: Practical experience implementing and configuring Apache Spark, Apache NiFi, Apache Atlas, MinIO, Solr, and other Non-SQL databases. Security & Gateways ...

decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning ...