26 to 50 of 221 Permanent Metadata Jobs

looking for experience across the following areas: Data architecture Data platform design Data modelling, cataloguing and associated governance Data lakes, distributed storage Metadata management Experience with Snowflake is preferred Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles ...

with Kubernetes based development. Experience with feature engineering pipelines and Feature Store management. Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility. Hands-on experience with AWS Bedrock and Agentcore service. Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana. Strong foundation in Python ...

efficiency Work closely with data scientists, analysts and engineering teams to support advanced analytics and reporting initiatives Implement best practices for data modelling, metadata management and data lineage Produce technical documentation including data architecture, pipeline design and data flow diagrams Support continuous improvement of data platforms through optimisation, automation … with Spark or distributed data processing frameworks Proven experience building and maintaining data pipelines, data lakes and data warehouses Strong understanding of data modelling, metadata management and data governance principles Experience working with large-scale distributed data systems and high-volume datasets Familiarity with CI/CD, version control ...

data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalogue structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

modelling consistency Essential Skills Strong experience designing conceptual, logical, and physical data models Knowledge of normalisation, denormalisation, and best-practice modelling techniques Understanding of metadata management, data governance, and data quality frameworks Proficiency with SQL and ideally one or more programming languages (e.g., Python, PySpark) Experience with database technologies ...

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 ...

knowledge of frameworks such as NIST 800, ISO 27001, and UK regulatory expectations (PRA, FCA, ICO, GDPR) * Proven experience across data governance, data quality, metadata, and data security * Good understanding of data architecture concepts, including data lakes and data warehouses * Experience with data integration, migration, and reporting tools * Working knowledge ...

applying GIS, automation, and spatial data science to real world challenges. Strong experience in best practice data management, including data quality assurance, governance, metadata standards, and automated workflow design. Demonstrated ability to produce clear documentation for data processes, automated pipelines, geospatial workflows, and technical solutions. Deep and broad GIS expertise ...

bring: Results Driven Track Record - Extensive and demonstrable expertise in data management and data governance including but not limited to data ownership, data quality, metadata management, data lineage and data cataloguing. Technically Proficient - proficiency in data management and data governance technologies and tooling. Practical experience with AI-driven data management ...

data supports these processes and operations. Experience in creating technical documentation including system designs, technical specifications, system and data models. Clear understanding of metadata management including data lineage principles. Excellent communication and interpersonal skills with the ability to communicate technical information to non-technical stakeholders and convey business concepts ...

consumption.Own data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight.Define Unity Catalogue structure, metadata standards and data lineage governance across the estate. Data Ingestion & ProcessingDefine ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

term value of semantic data frameworks. Key Responsibilities Lead the assessment of the current data and information landscape, including data models, integration patterns and metadata management Define a target-state information architecture, positioning ontology and semantic models as the foundation for interoperability and data reuse Develop a technology strategy ...

customers. We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using ...

conceptual, logical, and physical data modelling techniques. Experience defining canonical models, domain models, and analytical models. Good understanding of data governance, data quality, metadata, and lineage. Ability to develop and communicate data strategies aligned to business objectives. Knowledge of data ownership, stewardship, and operating models. Designing architectures that meet regulatory ...

solutions that deliver real value. Overseeing workflow, form, and automation development using Power Platform (Power Apps, Power Automate). Driving ECM best practice, from metadata standards to content lifecycle and user adoption. Providing technical leadership across ECM architecture, integrations, performance improvements, and migrations. Ensuring governance, compliance, and security standards ...

resources, skills, knowledge and ideas · Extensive knowledge of data governance frameworks such as DAMA-DMBOK · Experience in using data management tools to capture business metadata such as data catalogues, glossary terms and lineage · Understanding of data modelling, data engineering and data architecture principles · Knowledge or experience of areas of compliance ...

needs into platform features and actionable user stories. They will ensure alignment of platform capabilities with business processes and enterprise architecture. They will support metadata management, data quality initiatives, and compliance with data privacy and regulatory standards. Duties and Responsibilities Develop a deep understanding of customer processes, strategies, priorities ...

continuous improvement in data processes, insight delivery and data literacy. Establish and enhance data governance, documentation standards and delivery pipelines. Oversee data quality processes, metadata standards and lineage documentation at a process level. Ensure a consistent enterprise approach to data definitions, ownership and stewardship. Own business demand management across … pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management Data project management and Change management. Agile delivery. Software development and delivery. Documentation skills. Change delivery/transformation management. Building and managing a team ...

data platform architecture • Deep understanding of AI lifecycle, deployment, and platform design • Experience with cloud and hybrid environments (AWS preferred) • Background in data governance, metadata, and modelling • Proven stakeholder leadership in complex organisations Nice to have: • Experience within pharma, life sciences, or other regulated industries • Exposure to LLM/GenAI ...

integration pipelines Ability to explain data concepts clearly to non-technical stakeholders Working knowledge of Regular Expressions Desirable Coding for data manipulation Experience with metadata management tools (lineage, glossary/terms) Working pattern Hybrid : 2 days per week on-site in Sheffield Salary ...

tools (e.g., ServiceNow APM, LeanIX, CMDB) Perform financial modeling including TCO, NPV, and payback analysis Ensure high data quality across IT inventory and metadata 🧠 Required Skills & Experience Strong experience in IT portfolio management & integration (M&A preferred) Expertise in vendor and contract alignment strategies Hands-on experience with APM/ ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. * Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. * Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. * Support procurement processes, vendor assessments and technical requirements ...

managing vendor relations. Knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data. Proven track record deploying and governing enterprise metadata, catalog, and lineage platforms. Practical expertise with data contracts and schema governance. Ability to evaluate and drive technical decisions regarding data platform trade-offs, including ...

XBRL validation, SDMX or taxonomy-driven data models. * Experience integrating SaaS regulatory platforms with enterprise architectures. * Knowledge of SQL, large-scale data platforms and metadata-driven collections. * Experience designing hybrid architectures across on-prem and cloud environments. In return, you can expect a flexible working culture and benefits, including: * Hybrid ...

building strong relationships across diverse stakeholder groups through sharing resources, skills, knowledge and ideas. Awareness in data management tools and data management disciplines of metadata management a distinct advantage but training will be provided Knowledge or experience of areas of data compliance: Digitalisation Licence Condition, GDPR is an advantage ...