Data Modelling Engineer

As a Data Modelling Engineer, you will design scalable, production-ready data models for financial datasets on Databricks, and make sure they are understood, structured correctly, and ready for downstream use. Alongside building data models, you will perform practical, early‑stage analysis on new datasets, checking fields, formats, and structure to ensure consistency and proper handling before the data enters our pipelines.

You will help ensure that new datasets, including index, pricing, reference, and research data, integrate smoothly into Rimes’ data ecosystem with clarity, quality, and traceability. This role is well suited for someone who enjoys rolling up their sleeves, exploring datasets directly, and shaping the underlying structures that power data workflows across the organization.

• Design and maintain scalable data models (tables, relationships, hierarchies, history handling) on Databricks using Delta Lake and Lakehouse architecture.