10 of 10 Permanent Metadata Management Jobs in Gloucester

Data Management Specialist (Azure) - Newcastle/Hybrid You will provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms,, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory. Purview or another MDM tool is highly desirable. Skills/experience Bachelor’s … degree in Information Technology, Computer Science, Data Management, or a related field. 4+ years of experience in data management, data operations, or IT support roles, with at least 2 years in Level 3/4 support or equivalent. Hands-on experience with database technologies ( Azure landscape , Oracle, PostgreSQL … etc.). Desirable: Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data governance More ❯

environments. This role requires a deep understanding of modern data engineering practices, real-time processing, and cloud-native solutions. Key Responsibilities: Data Pipeline Development & Management: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse sources. … unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features More ❯

technologies Systems & Data Design • Create and refine system and data models aligned to stakeholder needs • Apply modelling standards and design methods across data domains Metadata & Data Management • Ensure metadata quality and consistency • Implement master data management and integrity processes Problem Solving & Development • Monitor and resolve data … processes • Strong proficiency in data modelling, integration design, and working with large, complex datasets • Ability to profile data, resolve data quality issues, and manage metadata/catalogues effectively • Skilled in communicating complex technical concepts to both technical and non-technical stakeholders • Proficient in programming (e.g. Python, SQL) and using More ❯

across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee … Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement More ❯

continuously refining their technical configuration to maximize value over time. This is a customer-facing role, requiring technical expertise, strategic thinking, and strong project management skills to ensure customers see long-term success with Actian solutions. Responsibilities: Technical Implementation & Onboarding Lead technical onboarding process for new Zeenea Data Intelligence … Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical … integrations to extend platform capabilities Deliver ongoing technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business More ❯

TOGAF or Zachman. Key Responsibilities Design and implement hybrid data architectures (cloud and on-prem) to support business strategy. Lead data governance initiatives, including metadata management, data quality, and policy enforcement. Identify and address areas of technical debt within data systems, driving long-term sustainability and agility. Collaborate More ❯

modelling, and familiar with at least one programming or scripting language commonly used in data engineering. Strong understanding of data quality, data governance, and metadata management practices across the data lifecycle. Experience of working in banking & financial services, particularly with mortgage data or customer-centric systems. Proven ability More ❯

of our immune analytics platform (e.g., prediction, signature interpretation, batch and drift monitoring and correction) Help shape internal standards for data documentation , reproducibility , and metadata management Potential to carve out ownership over a specific domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You … or other high-dimensional single-cell assays Familiarity with batch effect correction, signal drift, or statistical learning in low-n cohorts Exposure to knowledge management systems, ontologies, or scientific metadata AWS/SageMaker, Kedro and/or Dagster tooling or containerised workflows (Docker, CI/CD) What It More ❯

and geospatial data. • Collaborate with ML and research teams to ensure data pipelines align with model training requirements and schedules. • Develop and maintain robust metadata management and data versioning strategies. • Optimise data workflows for performance, reproducibility, and cost efficiency. • Implement automated processes for data quality checks, validation, and More ❯

led out of EMEA. Key responsibilities: Work across the business to identify and document Key Data Outputs (KDOs) Catalogue and manage KDOs and associated metadata using Collibra Contribute to the build and rollout of an Analytics Governance Framework aligned to existing data governance principles Support EUC remediation work to … principles within a financial institution Hands-on experience working with analytics products (e.g. reports, models, KPIs, dashboards) Familiarity with Collibra (or an equivalent) for metadata management or data/analytics cataloguing Exposure to EUC governance and remediation activities Solid grasp of data and analytics governance principles Strong stakeholder More ❯