---
title: 'Data Modelling Engineer at Rimes Technologies'
canonical: 'https://feeny.ai/job/data-modelling-engineer-rimes-technologies-singapore-kfmq3kt9bddn'
type: 'job'
last_seen: '2026-10-29'
---

# Data Modelling Engineer at Rimes Technologies

- **Company:** Rimes Technologies
- **Location:** Singapore
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-29
- **Apply:** https://job-boards.greenhouse.io/rimestechnologies/jobs/6235968004

## Job description

## 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 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.

Responsibilities:

- Design and maintain scalable data models (tables, relationships, hierarchies, history handling) on Databricks using Delta Lake and Lakehouse architecture.
- Profile new index, pricing, reference, ESG, and research datasets to understand structure, fields, data types, keys and vendor specific quirks.
- Identify inconsistencies, missing fields, formatting issues, or schema gaps and collaborate on remediation.
- Define source-to-target mappings, schemas and handling rules that Data Engineering can implement in ETL/ELT pipelines, and work closely with them to ensure the build matches the design.
- Test sample data against models to validate mappings and assumptions before they go into production.
- Use Unity Catalog to support governance, lineage and traceability of modelled data.
- Document field definitions, data relationships, and handling rules clearly for internal teams, and contribute to modelling standards and good data practice.
- Review provider schema updates and adjust models when needed to maintain alignment.

Requirements:

- 5+ years of experience in data modelling, with a track record of designing conceptual, logical and physical models for production platforms.
- Solid grasp of relational and dimensional modelling fundamentals, including hierarchies and history handling (e.g. slowly changing dimensions)
- Strong SQL and hands-on experience profiling and validating unfamiliar datasets.
- Hands-on experience with Databricks, including Delta Lake and Unity Catalog.
- Python for data profiling and validation.
- Experience with Git or similar version control systems.
- Degree in a technical discipline (e.g. Engineering, Computer Science, Mathematics) or equivalent experience demonstrating strong analytical and data modelling capability.
- Strong attention to detail and ability to investigate datasets independently.
- Clear communication skills and comfort working with cross‑functional teams.
- Organized, proactive, and committed to accuracy and continuous improvement.
- Experience working with financial data, including research datasets (e.g. ESG data), with the ability to model data for analytical and investment use cases.

Preferred Experience:

- PySpark for data exploration, prototyping or building transformations.
- Familiarity with common data exchange and schema formats, such as XML and JSON.
- Experience with modern data platforms such as Palantir Foundry or Snowflake.
- Strong Excel skills for exploratory data assessment.
- Progress toward the CFA or a similar investment qualification, or equivalent knowledge of investment data and concepts

What We Offer:

- Private Health Insurance (plus eligible dependents)
- 23 days of annual leave
- Employee Assistance Programme

Compensation: Competitive pay and bonus eligibility

Work Life Balance: Flexible hybrid work environment Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

Visit our [Careers](https://www.rimes.com/careers) page to see our complete listings.

## About Rimes Technologies

## Company Overview
- **One-liner**: Rimes provides investment data management solutions, including data warehousing, benchmarking, and managed services, to the global investment community.
- **Entity Type**: Private (acquired by Five Arrows, the alternative assets arm of Rothschild & Co., in 2024)
- **Headquarters**: New York, USA (founded there; global offices include London, Paris, Nicosia, Manila, Singapore, Sydney, Toronto, Orlando, Seattle, Boston)
- **Founded**: 1996
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Financial Technology (Fintech) – Investment Data Management
- **Target customers**: B2B – Asset managers, hedge funds, pension funds, insurance companies, and other institutional investors globally
- **Mission or purpose statement**: “Reach a higher standard of performance across your enterprise with innovative investment data management solutions from the industry's foremost data experts.”

## Products & Services
- **Data Lakehouse**: Scalable Azure platform for storage, warehousing, and distribution of investment data.
- **Data Mastering**: Ensures accuracy, compliance, and seamless integration across systems.
- **Data Warehouse**: Secure, scalable storage in Azure with real-time reporting.
- **APIs**: Streamline data distribution and enhance cloud migration and integration.
- **ESG Data Management**: Sources and manages complex ESG data to help clients assess exposure and performance.
- **Benchmark & Index Solutions**: Award-winning solutions for automated asset allocation, rebalancing, and index data delivery (140k+ feeds daily, covering 4M+ indices).
- **Investment Management Platform**: Cloud-native platform for global market servicing.
- **Managed Data Services**: Outsourced data operations to reduce costs and ensure accuracy.
- **PBOR Reporting**: Simplified reporting with unified data, GIPS compliance, and custom insights.
- **NAV Oversight**: Enhance transparency and reduce risk with verifiable asset value reporting.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by Five Arrows in 2024; previously acquired by EQT in 2020)
- **Key Metric**: Over 800 data providers; clients represent significant AUM (exact figure not publicly available)
- **Notable Investors/Partners**: Five Arrows (Rothschild & Co.) – current owner; EQT – previous owner; Azure (Microsoft) – cloud partner
- **Growth Signals**: Global expansion with offices in 10+ cities; 30+ years of industry leadership; continuous product innovation (Data Lakehouse, ESG solutions)

## Competitive Advantages
- **Unmatched index data set**: Largest in the industry with 140k+ feeds and 4M+ indices delivered daily.
- **Deep domain expertise**: 30+ years of investment data innovation and a team of industry experts.
- **End-to-end solutions**: From data mastering to cloud warehousing, benchmarking, and managed services – a single partner for the entire investment data value chain.
- **Client commitment**: Tailored solutions, global 24/7 support, and a strong focus on ESG principles.

## Strategic Focus
- **Post-acquisition expansion**: With Five Arrows backing, Rimes is laying the groundwork for accelerated growth, likely through product development, geographic expansion, and strategic acquisitions.
- **Cloud and API modernization**: Continued investment in Azure-based Data Lakehouse and Warehouse solutions, plus API-driven distribution.
- **ESG and regulatory compliance**: Growing demand for ESG data and regulatory reporting (e.g., PBOR, GIPS) drives product roadmap.

## Why Work Here
- **Culture**: Core values of Empowerment, Integrity, Innovation, and Client Excellence. Encourages creativity, initiative, and views mistakes as growth opportunities. Strong commitment to ESG and diversity.
- **Work model**: Hybrid work options available.
- **Growth**: Feedback-oriented culture with opportunities to develop skills alongside industry experts. Global exposure across offices in North America, Europe, Asia, and Australia.
- **Perks & environment**: Collaborative community where diverse perspectives drive success. Emphasis on continuous learning and employee well-being.

## Sources
1. [rimes.com](https://www.rimes.com/) – Company overview, products, and value proposition.
2. [rimes.com/why-rimes/about-us](https://www.rimes.com/why-rimes/about-us/) – History, leadership, global offices, acquisition timeline.
3. [rimes.com/careers/job-opportunities](https://www.rimes.com/careers/job-opportunities/) – Current job openings.
4. [rimes.com/careers/life-at-rimes](https://www.rimes.com/careers/life-at-rimes/) – Core values and culture.
5. [rimes.com/careers/join-rimes](https://www.rimes.com/careers/join-rimes/) – Career page with culture and hybrid work details.
6. [job-boards.greenhouse.io/rimestechnologies](https://job-boards.greenhouse.io/rimestechnologies) – External careers page (Greenhouse).

## Other roles at Rimes Technologies

- [Business Intelligence Developer](https://feeny.ai/job/business-intelligence-developer-rimes-technologies-nicosia-rmm8ndhrjf43) — Nicosia, Cyprus
- [Client Experience Consultant](https://feeny.ai/job/client-experience-consultant-rimes-technologies-manila-bb9g2zc5ezzh) — Manila, Philippines
- [Enterprise Sales Engineer](https://feeny.ai/job/enterprise-sales-engineer-rimes-technologies-london-6390m3j3h4rw) — London, United Kingdom
- [Associate Data Operations Analyst](https://feeny.ai/job/associate-data-operations-analyst-rimes-technologies-nicosia-gjhaca6kv6rj) — Nicosia, Cyprus
- [Senior Business Analyst](https://feeny.ai/job/senior-business-analyst-rimes-technologies-singapore-kyt6emv6s9dm) — Singapore
- [EDM Managed Services Senior Consultant](https://feeny.ai/job/edm-managed-services-senior-consultant-rimes-technologies-manila-7j70qjx6wc2n) — Manila, Philippines
- [EDM Managed Services Associate Consultant](https://feeny.ai/job/edm-managed-services-associate-consultant-rimes-technologies-manila-s3p6q5697feq) — Manila, Philippines
- [Strategic Client Delivery Partner](https://feeny.ai/job/strategic-client-delivery-partner-rimes-technologies-singapore-kryqwtpgqn3a) — Singapore
- [Senior Cloud & Infrastructure Engineer](https://feeny.ai/job/senior-cloud-infrastructure-engineer-rimes-technologies-manila-n7vc20kngehb) — Manila, Philippines
- [Project Manager](https://feeny.ai/job/project-manager-rimes-technologies-singapore-qxt8m8t9amb0) — Singapore