4 of 4 Metadata Jobs in South Yorkshire

recruitment process but will be used in the event of tied scores between candidates.Experience in developing and maintaining Master and Reference Data.developing and maintaining metadata for data dictionaries and data catalogue(s).data architecture and creating data models and documentation.data monitoring, testing, and implementing quality improvements.SQL and technical database experience ...

platforms commonly used in large organisations and data integration patterns Template version: March 2020 ( when complete) • Experience with data governance and operating discipline, metadata, lineage, access controls, retention, and data standards • Experience with Agile delivery and familiarity with relevant tools (JIRA and Confluence). • Strong written and verbal communication skills ...

data product lifecycle, ensuring reusability and consistent consumer experience Partner with Data Engineers, Analysts, Architects, and Data Governance to define data models , data contracts, metadata, lineage, quality rules, retention and access controls in line with HSBC standards and policies Publish Data Products to the Data Fabric with appropriate documentation, certification … scalability Practical experience with data quality assessment, uncovering inconsistencies across systems, and driving remediation with accountable owners Familiarity with modern data platform patterns (e.g. metadata-driven discovery) and operating models for reusable data products Strong product delivery skills (backlog management, prioritisation, MVP definition, release planning), experience with JIRA and Confluence ...

skills in SAS, SQL, Python (or similar) for data extraction, validation and analysis. Deep understanding of data platforms and technologies (relational, NoSQL, data warehouses, metadata and transformation tools). Experience delivering analytics projects across teams, with awareness of FCA regulation in a lending environment. Highly self-motivated, detail-oriented … under pressure to tight deadlines Responsibilities: Translate business needs into data products, analytics and machine-learning solutions. Build and maintain data assets, models and metadata to global standards. Deliver insights across lending, consumer behaviour, marketing, pricing and growth. Develop predictive, forecasting and stress-testing models on large datasets. Lead complex ...