1 to 25 of 35 Metadata Jobs in the East of England

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 ...

statistical or analytical tools such as STATA, R and/or Python. Oversee technical quality standards for analytics, including data definitions, data quality checks, metadata, reproducible code, documentation, peer review and appropriate sign-off of high-impact analytical products. Work with data engineering, business intelligence and information governance colleagues ...

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 ...

professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)Bachelor ...

Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data or text analyticsRelevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality ...

scientific applications such as Genedata Biologics. Develop scientific software including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. Apply AI and agentic development practices to rapidly prototype tools ...

scientific applications such as Genedata Biologics. * Develop scientific software including applications, APIs, services, and user interfaces using * Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. * Apply AI and agentic development practices to rapidly prototype tools ...

scientific applications such as Genedata Biologics. Develop scientific software including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. Apply AI and agentic development practices to rapidly prototype tools ...

data repositories, and scientific applicationssuch asGenedataBiologics. Develop scientific software including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance ...

workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks, Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data center ...

workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data ...

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 ...

have hands-on expertise in at least one core data domain, such as data stewardship, data standards, data architecture, FAIRification, data modeling, data quality, metadata or data management You have proven experience leading complex projects, initiatives or teams across multiple stakeholders, with the ability to influence without authority and deliver ...

architectural principles. Platform Reliability: Provide overall accountability for the resilience, scalability, performance and operational effectiveness of the data platform. Engineering Patterns: Promote reusable, metadata-driven and automated engineering approaches to reduce complexity and improve delivery efficiency. Azure Services and Cloud Data Engineering Provide strategic oversight of cloud-based data platforms ...

engineers, TRE user support staff, and secure output checkers.You will have the technical capability to work comfortably with cloud platforms, virtualisation technologies, data models, metadata standards, and business and data pipeline workflow design. Equally, this is a high-profile leadership role, where you will be representing UKDS in the national ...

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 ...

transfer-readiness owner to orchestrate cross-border data sharing approvals and readiness for China-focused workstreams. This role drives intake triage, provenance tracing, metadata coordination, and evidence package preparation across biologics, small molecules, and safety domains. You will collaborate with R&D Data Office, Privacy, and Compliance, ensuring data governance ...

Web. Use AI-assisted engineering tools responsibly where they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic ...

Web. Use AI-assisted engineering tools responsibly where they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic ...

Carry out quality assurance checks on scanned and indexed documents Monitor and process documents through Mobius, Paris, Laserfiche and Quickfields workflows Ensure accurate indexing, metadata assignment, and document classification Respond to user queries and escalate technical issues where needed Provide occasional cross-site support to cover leave or sickness Support ...

LIMS, SDMS) to enhance scientific workflows.Partner with R&D scientists to translate experimental processes into structured, scalable digital solutions.Design and implement data models, templates, metadata structures, and workflows aligned with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.Build and maintain integrations between lab platforms, analytics tools, automation systems, and cloud-based … optimizing laboratory informatics systems (e.g., ELN, LIMS, SDMS).Strong understanding of scientific workflows and experimental data lifecycle management.Experience with data modelling concepts and metadata standards; familiarity with FAIR data principles is highly desirable.Programming or scripting experience (e.g., Python, R, SQL) and experience integrating systems using APIs (REST, GraphQL).Strong communication ...

digitalisation roadmap that modernises regulatory operations through workflow automation, structured data, and intelligent process design. Identify opportunities to automate manual regulatory tasks, such as metadata capture, submission tracking, Health Authority correspondence management, and lifecycle updates. Partner with IT and automation teams to implement robotic process automation (RPA), low‐code workflows … document processing) Understanding of AI capabilities in regulated environments and ability to translate needs into AI-enabled use cases Expertise in master data management, metadata structures, data lineage, and ensuring accuracy, compliance, and audit readiness Ability to align stakeholders on system and process changes with strong communication and change management ...

data arrives in China. This is not a final approver role. Rather, it is a dedicated role focused on first-pass triage, provenance tracing, metadata review, annotation coordination, evidence package preparation, and process tracking. The role is intended to reduce the fragmented burden currently carried … compliance assessment for CRO ordering — evaluating data shared with China-based CROs against EO 14117 thresholds and transaction type classifications Provenance Tracing, Annotation & Metadata Coordination Lead provenance tracing for legacy or incompletely documented datasets by reviewing records, systems, and source history across relevant platforms Coordinate metadata collection and completion needed ...

often be starting with a blank sheet of paper, bringing together stakeholders from across Product, Engineering, Process and Programme teams to define metadata, establish business rules, implement data quality controls, and support successful project delivery. You’ll combine strong data governance expertise with stakeholder management skills to ensure high-quality … policies for full details You will be responsible for Lead data governance and data quality workstreams across complex transformation projects. Define and curate metadata, including critical data elements, business definitions, lineage and system mappings. Design and implement business rules and data quality controls to support key Finance processes. Build, execute ...

access, and provisioning on approved enterprise platforms. Design and run robust end-to-end data pipelines (ingest/store prepare provision) with scalable orchestration, metadata-driven processing, performance tuning, and cost optimisation on sanctioned cloud platforms. Apply enterprise security controls and approved obfuscation patterns such as masking, tokenisation, and anonymisation … analytics.• Data product and DataOps expertise: Hands on proficiency with data product contracts, lineage, quality SLAs, CI/CD for data, automated testing, and metadata driven pipelines that enable self service.• Integration, orchestration, and storage: Deep experience with batch/streaming integration, workflow orchestration, and scalable storage/processing ...