7 of 7 Metadata Jobs in the East of England

RISE, and SAC) to ensure the queries on data provision are resolved. Participation in areas such as data quality, master data management and metadata management Participation in the creation of data models, statistics, dashboards, and advanced visualizations in support of the Finance Operating Model and strategic direction Research and implement ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

TOGAF or equivalent certification desirable. Experience with finance applications such as TMS, GEM Suite and Concur is advantageous. Understanding of data governance, master data, metadata, SAP GRC and segregation-of-duties controls. Ability to understand end-to-end Finance processes including P2P, R2R and O2C. Strong stakeholder management skills, with ...

Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data contracts Exposure to data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets, performance-optimized ...

enabling precision medicine, biomarker discovery, and hypothesis validation Work with science stakeholders to understand analytics needs and shape data standards accordingly Create data catalogs, metadata standards, and usage guidelines; establish feedback mechanisms for continuous improvement Standards & Data Product Strategy Define FAIR-compliant standards for translational/biomarker data (omics, imaging ...

architecture, automated testing, documentation, observability, and maintainable code. Integrate tools with engineering data sources such as logs, test output, failure reports, source code, build metadata, and CI results, ensuring outputs are useful, traceable, and appropriate for engineering decision-making. Contribute to the design and evaluation of LLM-based systems, including … integrations, test infrastructure, or engineering automation. Experience working with engineering data and workflows, such as logs, source code, test output, CI results, build metadata, failure reports, or software quality signals. Hands-on DevOps experience with AWS, Kubernetes, Cloudbees Jenkins, GitHub, or similar platforms. In Return: When joining our team ...

knowledge bases. A major component of the role will be developing AI-driven approaches to mine scientific literature and automatically extract experimental and biological metadata to enrich MD datasets. You will develop and extend SIFTS (Structure Integration with Function, Taxonomy and Sequence), a core PDBe resource that provides residue-level … UniProt, PDBe-KB, and other relevant knowledge bases and databases Develop and deploy AI- and machine learning-based approaches for extracting experimental and biological metadata from scientific literature to enrich MDDB datasets and support downstream biological interpretation. Extending and maintaining the SIFTS infrastructure and codebase to support integration of molecular ...