10 of 10 Permanent Metadata Jobs in the East of England

Looker; experience with LookML is advantageous Strong working knowledge of SQL, Python, and Google Analytics Solid understanding of data modelling, semantic layers, metadata management, and analytics architecture Demonstrable experience migrating BI platforms or consolidating BI estates with minimal business disruption and strong stakeholder engagement Proven ability to coach and mentor ...

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 ...

/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata/ACL strategy, and evaluation loops to improve retrieval quality. Architect APIs and integration layers for GenAI agents (API Gateway/ALB, VPC integration, event ...

services that support AI agent interaction Drive the application of GenAI to modernise, refactor, and accelerate legacy systems Define and implement APIs, contracts, and metadata aligned with the Model Context Protocol Shape and evolve internal tooling that supports AI-native SDLC workflows Influence architecture decisions, conduct design and code reviews ...

Security & Compliance Ensure data platforms meet regulatory, security, and compliance requirements, including secure pipeline design, access control, and lineage Embed good governance practices across metadata, cataloguing, quality, and monitoring Define and maintain data engineering standards, documentation, and policies to ensure consistency, compliance, and long-term maintainability Role Objectives & KPIs Deliver … scaling data platforms, data models, and ingestion frameworks across structured and unstructured sources Understanding of ML/AI enablement, data curation strategies, and metadata/lineage tooling Proven ability to drive organisational change, modernise technology stacks, and embed best practices Proven ability to coach and mentor technical teams, raising capability ...

someone motivated by improving data at scale and influencing how teams adopt data standards? If you enjoy shaping domain-level data quality, metadata and governance, this could be the perfect next step. A bit about the job: Were looking to recruit a number of Data Management Leads to lead adoption … leadership role where youll make a visible impact on data quality, risk management and AI/analytics readiness. Youll be leading the adoption of metadata, data quality, access management and classification across your domain, while reviewing data quality results, agreeing remediation priorities and validating improvements. You will shape definitions, thresholds ...

data quality, security, and compliance across the organisation. You will also work with governance tools such as Collibra to support data quality, lineage, and metadata management. Key responsibilities: Develop and implement enterprise-wide data governance strategies and roadmaps. Define governance objectives, KPIs, and success metrics. Establish governance structures, roles … models, and lifecycle management. Define and monitor data quality standards and metrics. Collaborate with data owners and stewards to resolve data quality issues. Implement metadata management processes and supporting tools. Maintain data dictionaries, business glossaries, and data lineage documentation. Monitor access controls, encryption standards, and risk mitigation strategies. Conduct training ...

rRNA sequencing, ITS sequencing, shotgun metagenomics), Multi-omics (proteomics, lipidomics, metabolomics), Clinical and observational data (treatment exposure, formulation and ingredient combinations, clinical outcomes, patient metadata). Datasets include longitudinal measurements, enabling analysis of biological response to interventions (e.g., ingredient exposure, treatment, formulation). 1) Build the discovery engine (data → signal … feature representations from: o microbiome sequencing (16S/ITS/shotgun) o gene expression/transcriptomics o lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule ...

sciences focus), or a related field. Hands-on experience with data stewardship and/or data governance concepts (e.g., stewardship operating model, data quality, metadata, ownership, and standards). Experience working with data standards, ontologies, vocabularies, or controlled terminologies in a research or life-sciences setting. Knowledge of cloud platforms … specifically google cloud. Understanding of multi-omics data types and workflows (e.g., genetics, transcriptomics/gene expression) and how sample/assay metadata ties to experimental outputs. Working knowledge of data modeling and structuring datasets for analysis and reuse. ...

identify opportunities for optimisation Preparing timely monthly, quarterly, and yearly reports Conducting keyword research and implementing on-page improvements Enhancing website structure, URLs and metadata for improved rankings Creating and optimising content, including copywriting and link-building activity Monitoring performance using analytics tools and producing regular reports Managing local … agency experience. Proficiency in HTML and CSS Proven experience in SEO handling multiple clients Strong understanding of organic search, including keyword research and metadata optimisation Familiarity with Google Search Console and Google Analytics Good understanding of site structure and technical SEO elements Ability to create and optimise content and deliver ...