Senior Technical Data Modeller (Azure | Finance Domain)

This is a hands-on technical role, focused on designing, maintaining, and optimizing conceptual, logical, and physical data models across a modern cloud data platform.

You will work closely with Data Engineers, Product Owners, Data Office, and Architecture teams to ensure data structures are scalable, compliant, and high quality., * Design and maintain conceptual, logical, and physical data models

• Translate business and regulatory requirements into robust technical data structures
• Develop and validate dimensional models (fact/dimension, star, snowflake schemas)
• Ensure data quality, consistency, lineage, and governance within Finance and Risk domains
• Collaborate with Data Engineers to implement solutions using Azure SQL, Databricks, and Data Factory
• Review and optimise existing data models and define modelling standards and best practices
• Support data ingestion and transformation processes
• Participate in architecture discussions, technical assessments, and refinement sessions

We are seeking a highly experienced Technical Data Modeller with deep expertise in SQL, data modelling, and the financial services industry., * 8+ years of experience as a Technical Data Modeller in complex environments

• Expert-level SQL (advanced queries, performance tuning, relational database design)
• Strong knowledge of financial data domains (payments, credit, risk, regulatory reporting)
• Hands-on experience with:

• Microsoft Azure (Azure SQL Database)
• Azure Databricks
• Azure Data Factory

• Deep understanding of data modelling techniques:

• Normalization & denormalization
• Star & snowflake schemas
• Fact/dimension modelling
• Slowly Changing Dimensions (SCD)
• Metadata & data lineage management

• Strong communication skills with ability to engage both technical and business stakeholders
• Ability to work independently and challenge requirements with strong technical solutions, * Experience in banking or financial services environments
• Familiarity with regulatory reporting (e.g., IFRS, Risk & Finance frameworks)
• Experience with Azure DevOps, Git, and CI/CD pipelines
• Exposure to data governance frameworks and data quality tools