Job Description
· Experience with Use case prioritisation for Data scientists
· Knowledge of data science workflows and Knowledge Graph concepts to direct and quality-assure outputs from Data Scientists and AI Engineers
· Background in coordinating data workstreams across multiple delivery pods
· Experience defining data lineage frameworks, access control models, and data quality governance standards
· Experienced engaging with client SMEs to run workshops, validate requirements, and manage working-level expectations independently
· Experience with Medallion architecture, Data Models, schema standards, and ingestion framework patterns on Azure Databricks
· 8–12 years in Azure Databricks, Delta Lake, Medallion Architecture, schema design, and data modelling
· Strong understanding of data lineage, governance, and access control in financial services
· Confident working-level communicator with business and technical stakeholders
Requirements
infrastructure
Data lead • London, LND, gb
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