1 to 25 of 38 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 ...

role. Experience building data pipelines, transformations and reusable datasets using Python, SQL and modern data platforms. Good understanding of data modelling, data quality, testing, metadata, lineage and production release. Experience integrating data across APIs, databases and enterprise applications. Strong problem‐solving skills, with the ability to understand existing technical solutions ...

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 ...

quality, security, and compliance. Experience setting up and working with in a Data Office that defines the above policies Proficiency in data cataloguing and metadata management tools such as Collibra, Atlan, Informatica, or similar platforms. Knowledge of data lineage, stewardship, and data quality management, using relevant tools and applications ...

Data Engineer c. £53,000 per annum Bedford Based Hybrid Working Permanent Join us at the Money and Pensions Service (MaPS) as a Data Engineer where you will design and implement data pipelines to connect ...

integration: Consume content from headless CMS platforms, ideally Umbraco, Contentful or similar, via REST or GraphQL APIs. Marketing and SEO: Implement technical SEO including metadata and schema markup, plus GA4, Google Tag Manager and tracking pixels. Workflow: Git, Gitflow or trunk-based development, automated CI/CD and Agile/ ...

including approval criteria, checklists and exception management. Drive data ownership, stewardship and accountability across business and technical teams. Lead the adoption of data catalogue, metadata, classification and lineage standards. Oversee data quality frameworks including monitoring, controls, thresholds and remediation processes. Partner with engineering, analytics, security, privacy and business stakeholders … leading hospitality businesses. What you'll need: Strong knowledge of data governance principles, stewardship models and governance operating frameworks. Experience with data quality, metadata management, cataloguing, lineage and data lifecycle management. Understanding of data security, access controls, GDPR, retention requirements and audit processes. Knowledge of modern cloud data platforms, data ...

other teams to deliver joined-up data products and insight. Define and promote Power BI, data modelling and governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science, analytics, business intelligence, data modelling or a similar analytical … advanced analytical techniques, such as predictive modelling, clustering, classification or natural language processing. Familiarity with responsible AI, model validation and monitoring, data governance, metadata, lineage and ethical use of data in a regulated or mission-led environment. If you’re interested in applying and excited about working with ...

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 ...

focusing on day-to-day data management, preservation, and storage). Business change (e.g., determine and plan new processes and procedures for digital preservation, metadata improvement, and quality management and dataflow processes, and embed them into the work of staff). Stakeholder engagement and learning delivery (e.g., lead on training ...

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 ...

gain insights from large genomic datasets. Reporting to the Genome Analysis Team Leader, you will collaborate with data generators and project users, support metadata quality, and extend portals with project-specific needs while integrating cloud #J-18808-Ljbffr ...

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. ...

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 ...