Technical Data Modeller

We're Hiring: Technical Data Modeller – Finance Data Platform (CL8/9)

Platform: Databricks | Finance Data Platform

Role Overview

We are looking for an experienced Technical Data Modeller to design and implement robust, scalable, and finance-aligned data models supporting a modern Finance Data Platform on Databricks.

The role focuses on ensuring data integrity, consistency, performance, and usability across analytical and operational use cases.

Key Responsibilities

• Design and develop conceptual, logical, and physical data models for finance data domains

• Partner with Data Engineers and Architects to implement data models on Databricks

• Define and maintain data models, schemas, and data dictionaries aligned with finance business semantics

• Optimize data structures for high-performance querying and downstream analytics (Power BI, analytics workspaces, reporting layers)

• Support data quality design, validation, and reconciliation processes

• Ensure alignment with data governance, master data, and metadata management standards

• Collaborate with finance, analytics, and engineering stakeholders to translate business requirements into scalable data models

Required Skills & Experience

• Strong hands-on experience in Data Modelling (Conceptual, Logical & Physical) in large-scale finance or enterprise environments

• Proven experience implementing data models on Databricks / Lakehouse platforms

• Strong proficiency in SQL, Data Warehousing concepts, and Dimensional Modelling (Star / Snowflake schemas)

• Solid understanding of finance data structures, accounting principles, and financial reporting concepts

• Experience with data governance, master data management (MDM), and metadata management

• Ability to collaborate effectively across engineering, architecture, analytics, and finance teams

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