6 of 6 Dimensional Modelling Jobs in Scotland

GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas), harmonisation logic, SCDs … . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. Exposure to operational concepts such as monitoring, retries, idempotency and backfills. Mindset Good energy ...

quality technical documentation About You You will have extensive experience designing and delivering modern data platforms, with: Strong expertise in data warehouses, data lakes, dimensional modelling, and both batch and streaming data processing A solid understanding of data strategy and management, including data governance, data quality, security ...

logical data models across key investment banking domains (e.g. clients, products, trades, positions, risk, finance, market and collateral data) Ensure models align to agreed modelling standards, naming conventions, and reusable design patterns Translate business requirements into clear, structured data models aligned to authoritative upstream sources Facilitate workshops with SMEs … data teams to validate definitions and resolve data discrepancies Embed modelling standards, metadata, and quality controls in line with enterprise data governance frameworks Operate within a high-throughput, iterative delivery (factory) model, supporting multiple concurrent data products Collaborate closely with architects, governance, engineering, onsite leadership, and offshore teams ...

into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using ...

Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing , dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical . Experience building ...

Kafka within AWS. Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing, dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical. Experience building robust pipelines ...