8 of 8 Contract Dimensional Modelling Jobs

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

engineering experience across batch, streaming and CDC ingestion patterns. Advanced SQL skills and strong Python development experience. Experience using dbt for data transformation and modelling would be highly beneficial. Experience building and optimising ETL/ELT pipelines. Good understanding of data warehousing, dimensional modelling and analytical data ...

analytics solutions Extensive experience with: Azure SQL Azure Data Factory Power BI Azure DevOps Experience delivering greenfield data platform implementations Strong understanding of dimensional modelling and modern data warehouse design Experience developing scalable, secure and maintainable cloud architectures Expertise establishing CI/CD and DevOps practices for data ...

. Extensive SQL development and performance tuning expertise. Experience building and supporting ETL/ELT frameworks. Strong understanding of data warehousing concepts and dimensional modelling. AWS experience, including services such as S3, Glue, EMR, or PySpark . Knowledge of data governance, quality controls, and testing practices. Experience working within ...

engineering standards, design patterns, and development best practices. Database & Data Engineering Strong experience with SQL Server, PostgreSQL, and enterprise database platforms. Expertise in: Data modelling (OLTP, OLAP, dimensional models) Query optimization and performance tuning Database scalability and resilience Data governance and quality management Experience delivering large-scale ...

portfolio measures, including PD, EAD, LGD and RWA . experience with AWS data services, particularly Athena , and/or Snowflake . Knowledge of dimensional modelling, fact tables and standardised data definitions. Exposure to portfolio forecasting or predictive modelling. experience with Amazon QuickSight or other business-intelligence tools. ...

rule definition, thresholding, automated alerting, and root-cause remediation). Craft complex SQL transformations, optimize query performance, handle advanced window functions, and design conformed dimensional models for curated platform layers. Map end-to-end data flows from ingestion to serving, defining upstream/downstream contracts and data ownership boundaries. ...