6 of 6 Remote/Hybrid Metadata Jobs in the North West

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 ...

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 ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

case studies Manage website content through Umbraco CMS. Ensure all content aligns with SEO, accessibility and brand guidelines. Maintain content governance, taxonomy and metadata standards. Analytics & Performance Monitor SEO performance, rankings, traffic and conversion metrics. Produce actionable reports and recommendations based on performance insights. Track AI referral traffic and emerging ...

Compliance to understand Data Governance Risk position and appetite, to communicate, lead and measure mitigation activities Build, own and maintain data asset cataloging and metadata, covering data lineage, classification and definitions documentation Make it clear and accessible for consumers Define quality requirements for data domains and data assets, based ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. WHAT YOU'LL LOVE ABOUT WORKING HERE As a Consultant/Senior Consultant, you will have the chance to shape responsible ...