Data Modeling Engineer (Fintech)

TL;DR

Data Modeling Engineer (Fintech): Designing and optimizing data structures for financial datasets with an accent on conceptual, logical, and physical data models. Focus on analyzing new datasets, ensuring schema consistency, and collaborating with Data Engineering to build ETL-ready schemas.

Location: Hybrid in Singapore

Company

hirify.global provides enterprise data management solutions to the global investment community, powering intelligence for trillions in assets under management.

What you will do

• Analyze and inspect new financial datasets to understand structures, fields, and data types before ingestion.
• Identify inconsistencies, schema gaps, and formatting issues to ensure data quality.
• Build and maintain conceptual, logical, and physical data models, including tables, relationships, and hierarchies.
• Test sample data against models to validate mappings and transformations.
• Collaborate with Data Engineering to translate models into ETL/ELT-ready schemas.
• Document field definitions and data handling rules for internal teams.

Requirements

• 1–3+ years of experience in data modeling, data engineering, or data architecture.
• Proficiency in SQL and familiarity with Python for profiling and automation.
• Strong understanding of relational and dimensional modeling basics.
• Experience working with financial data, specifically research datasets (e.g., ESG data).
• Technical degree in Engineering, Computer Science, Mathematics, or equivalent experience.
• Must be based in Singapore

Nice to have

• Experience with Databricks, Snowflake, Palantir Foundry, or Parquet-based systems.
• Familiarity with XML, JSON, and schema definition languages.
• Strong Excel skills for exploratory data assessment.
• Progress toward CFA Level II or higher.

Culture & Benefits

• Flexible hybrid work environment.
• Private Health Insurance, including coverage for eligible dependents.
• 23 days of annual leave.
• Employee Assistance Programme.