22 of 22 Permanent 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 ...

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 Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data ...

capabilities. Desirable Skills/Experience Experience leading large-scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision-making. Familiarity with cloud-native architectures ...

cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products: Reusable, discoverable and well-governed data products and marketplaces DataOps and observability: Testing, monitoring, operational controls … strong software engineering practices to data platforms, including testing, CI/CD and infrastructure-as-code. Establishing effective approaches to data quality, observability, governance, metadata and security. You can lead data platform modernisation and migration, including coexistence, cutover and decommissioning. Making pragmatic technology choices and understanding the trade-offs between ...

Design and build Box automations, including Box AI for metadata extraction, classification, and manipulation Configure Zendesk AI features, including knowledge base, FAQs, and agentic or assisted chat Build and maintain integrations across Box, JIRA, HiBob, and other platforms Develop MCP-based and Claude Code-driven automations to remove manual handoffs ...

previous results and improve future crop-development decisions. You will define the architecture that connects Tropic's scientific and operational data through shared identifiers, metadata, lineage and governance. Working with Bioinformatics, IT and business data owners, you will recommend the data engineering stack to support AI programmes across science, commercial … What you will do Design and build scalable data architecture, models, pipelines and integrations across scientific and business systems. Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering ...

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 ...

SharePoint, and the SPA GIS platform. Key responsibilities Lead the development of MEP, process, civils Non-Infra, and structural Revit models. Approve model geometry, metadata, and model maturity progression. Create and maintain Revit families, schedules, templates, and discipline libraries. Conduct technical reviews on models produced by others before issue. Lead ...

issues. Support temporary works, lifting operations and construction methodology planning. Produce visual outputs including animations, stills, dashboards and reports. Ensure compliance with project standards, metadata requirements and CDE protocols. Work with planners to validate programme logic using 4D insights. Maintain templates, libraries and 4D workflow documentation. Mentor junior team members. ...

experiences. Develop semantic models, KPIs, metrics and business definitions. Configure and continuously improve Genie Rooms for natural-language analytics. Maintain ontology, taxonomy, metadata, tagging and business glossaries. Validate data, calculations, visualisations and AI-generated responses. Partner with Data Engineers to improve data quality, lineage and traceability. Gather feedback and continuously … similar tools. Good working knowledge of SQL and data validation. Understanding of semantic modelling, metrics and KPI design. Experience or knowledge of data governance, metadata, taxonomy, ontology or lineage. Solid ability to engage with business stakeholders, understand their needs and translate them into data solutions. Ability to communicate data ...

/BI capabilities and Genie Rooms. Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics. Support the development of ontology, taxonomy, metadata, tagging and business glossaries. Understand data lineage from source through to consumption, helping ensure data is trusted, traceable and fit for purpose. Validate data, calculations … Tableau or similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data governance, metadata, taxonomy, ontology and/or lineage. Strong stakeholder engagement skills, with the ability to break down business requirements and translate them into practical data solutions. ...

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 ...

Senior Network Engineer Network Source of Truth, Automation & Network Reliability Location: Cambridge, UK Working Model: Hybrid – 2 days per week onsite Contract Type: Contract Experience: 10+ years relevant experience Role Overview We are looking for ...

enable data-driven decision making, analytics, automation and AI initiatives. Key Responsibilities Support Data & AI governance processes, forums and reporting Administer Microsoft Purview, including metadata, business glossary and data catalogue management Produce governance metrics, dashboards and management information Support Data Owners and Data Stewards with governance activities Maintain governance documentation … Help drive governance awareness and continuous improvement initiatives Essential Experience Microsoft Purview experience Background in Data Governance or Information Governance Experience with data catalogues, metadata and governance frameworks Strong reporting, documentation and stakeholder engagement skills Experience producing governance metrics and management information DesirableData stewardship experience Audit and compliance support DAMA ...

data capture and quality controls. Develop tooling and pipelines for data acquisition, logging and traceability across automated workflows, ensuring that instrument telemetry and experimental metadata are available for analysis and model development. Collaborate closely with software, data science and biology teams to integrate robotic systems with Sartorius' digital platforms, analytics … life science or bioprocess environments is a strong plus. Experience with data handling and analysis in automated experiments (e.g. logging device data, handling experimental metadata, basic analysis or visualization).Understanding of distributed systems, APIs and cloud‐based services is an advantage (e.g. connecting lab systems to cloud platforms or data ...

Governance & Quality Lead to drive governance and quality across finance transformation initiatives. You will work with Product, Engineering, Process and Programme teams to define metadata, business rules, and data quality controls, ensuring trusted data across core finance processes. You will also guide data analysts and manage stakeholder engagement throughout delivery. … will help establish metadata, lineage, and critical data elements, while shaping governance #J-18808-Ljbffr ...

comprehensive website audits to identify opportunities for optimisation and growth. Perform keyword research and implement on-page SEO improvements. Optimise website architecture, URL structures, metadata, and technical elements to enhance search performance. Create and refine engaging, SEO-focused content while supporting link-building initiatives. Monitor campaign performance using analytics tools … years' experience within agency environment . Proven experience managing SEO campaigns across multiple client accounts. Strong knowledge of organic search principles, including keyword research, metadata optimisation, and content strategy. Solid understanding of technical SEO and website architecture. Highly skilled in HTML and CSS . Hands-on experience with Google Search ...

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 ...