Data Modeller

We are looking for a skilled Data Modeller to join our data team and play a key role in designing and implementing structured data models across our medallion architecture — with a primary focus on the Silver (cleansed/conformed) and Gold (business-ready/aggregated) layers. You will work closely with data engineers, analysts, and business stakeholders to ensure data is modelled accurately, consistently, and in a way that drives value across the organisation.

Key Responsibilities

• Design, develop, and maintain data models for the Silver layer (cleansed, deduplicated, and conformed data) and Gold layer (aggregated, business-logic-applied, reporting-ready data)
• Create and manage source-to-target mapping documents to clearly define data lineage from raw ingestion through to consumption layers
• Collaborate with data engineers to translate business requirements into logical and physical data models
• Define and enforce data standards, naming conventions, and modelling best practices across the data platform
• Work with business and analytics teams to understand reporting and analytical requirements and reflect them in Gold-layer structures
• Identify and resolve data quality, consistency, and integrity issues during modelling and mapping exercises
• Document data models, transformation rules, and mapping specifications to ensure traceability and auditability
• Participate in data governance initiatives, supporting metadata management and data cataloguing efforts
• Review and validate transformation logic applied between Bronze → Silver and Silver → Gold layers
• Contribute to the evolution of the overall data architecture and medallion framework

Required Skills & Experience

• Proven experience as a Data Modeller, Data Architect, or similar role within a modern data platform environment
• Strong understanding of medallion architecture (Bronze/Silver/Gold layering) and the purpose of each layer
• Hands-on experience with source-to-target mapping and data lineage documentation
• Proficiency in dimensional modelling (star schema, snowflake schema) and normalised/denormalised design approaches
• Experience with data modelling tools such as erwin, dbt, Dataedo, or similar
• Familiarity with cloud data platforms (e.g. Databricks, Snowflake, Azure Synapse, BigQuery)
• Strong SQL skills for validating and prototyping data structures and transformations
• Ability to engage with both technical teams and business stakeholders to gather and translate requirements
• Good documentation skills — comfortable producing mapping specs, data dictionaries, and model diagrams

Nice to Have

• Experience with dbt for managing Silver/Gold transformations and model documentation
• Exposure to data governance frameworks or tools (e.g. Collibra, Alation, Purview)
• Familiarity with Delta Lake or similar open table formats
• Understanding of data mesh or domain-oriented data modelling principles

 

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