Data Modeling Engineer
About Rimes
Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.
The Opportunity:
As a Data Modeling Engineer, you will work hands‑on with financial datasets to 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.
Responsibilities:
