9 of 9 Metadata Jobs in South Yorkshire

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 ...

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 #J-18808-Ljbffr ...

warehouse, enabling analytics across the business. The ideal candidate has strong SQL, Python, and experience with cloud data tooling (GCP/BigQuery), data governance, metadata and lineage, and agile delivery using JIRA and Confluence. #J-18808-Ljbffr ...

with solution architects and data engineering teams to define and promote best practices for cloud-native data solutions. Create clear documentation for data models, metadata, data lineage, and business definitions to support transparency and reuse. Contribute to the ongoing enhancement and evolution of the operational resilience data estate, ensuring … production environment. Extensive experience in data modelling, including the design of conceptual, logical, and physical data models. Strong understanding of data governance, metadata management, and data quality principles. experience identifying, sourcing, and integrating data from multiple enterprise systems. Ability to translate complex business requirements into scalable and maintainable data models. ...

data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. … investing in self-service onboarding, templates, and engineering enablement tooling. Data lineage & observability Implement end-to-end data lineage (source platform vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution. Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable improvements ...

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 ...

data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi‐tenant architecture: tenant isolation, configuration management, metadata‐driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. … Reduce manual toil by investing in self‐service onboarding, templates, and engineering enablement tooling. Implement end‐to‐end data lineage (source → platform → vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution. Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable ...

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 ...

Role Title: DevX Build Pipeline/DevOps Engineer Duration: contract to run until 30/11/2026 Location: Hybrid. Sheffield, 3 days onsite with additional need to travel to other offices within the UK ...