8 of 8 Permanent Metadata Jobs in the North West

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 ...

solutions. Strong hands-on expertise with Microsoft Fabric, Azure Data Services and cloud-based data platforms. Advanced SQL and data modelling skills. Experience with metadata management and data integration approaches. Strong problem-solving ability with experience resolving complex technical challenges. Excellent stakeholder management and communication skills. What's on Offer ...

master data management. Set standards for how we manage data throughout its lifecycle, including governance, quality, retention and metadata. Build and evolve a metadata repository for our systems and data flows ensuring data assets are documented, owned and governed. Enable AI models to use data close to source, reducing duplication ...

version-controlled Proactively monitoring pipeline health, optimising performance, and managing infrastructure costs to ensure efficient scaling Applying strong data modelling, semantic consistency and metadata discipline so data is discoverable and usable by both humans and AI tools Partnering with function-specific AI engineers and analysts to understand their data needs … GitHub for version control and CI/CD A working understanding of how to keep data AI-ready: strong modelling, semantic consistency, and metadata discipline that both humans and AI tools can rely on Comfortable working across the full data landscape that a growing DTC business touches: marketing, trading, operations ...

have no established governance framework and this is a greenfield opportunity to build it properly Own the framework for how THG manages data quality, metadata, data definitions and lineage across PLC Work with Ingenuity to ensure governance standards are consistent across both PLC and Ingen data infrastructure Build the culture … concrete examples of how you changed the way a business ingests, stores and consumes its data Strong understanding of data governance principles — data quality, metadata management, mastering and lineage Experience working with or alongside a technology partner or platform team (similar to our Ingenuity relationship) Demonstrated ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

integrate data solutions across multiple platforms and systems Lead data modelling, data flows, and system interoperability initiatives Drive best practice in data governance, metadata, and quality standards Translate business requirements into effective technical solutions Collaborate with architecture, engineering, and business teams to deliver value Ensure compliance with relevant regulations … Data Architect or in a senior data-focused role Strong background in data modelling, integration, and architecture frameworks Solid understanding of: Data governance & metadata management Enterprise architecture principles Regulatory and compliance requirements Experience with modern data platforms and cloud technologies Ability to engage with senior stakeholders and communicate complex ideas ...

data concepts and defining approaches to master data management Set standards for how we manage data throughout its lifecycle including governance, quality, retention and metadata Build and evolve a metadata repository for our systems and data flows ensuring data assets are documented, owned and governed Enable AI models ...