Data Engineer, Payments & Funds-Flow (AI-Native)

OSL; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OSL seeks a seasoned data engineering leader to own the payments and funds-flow data domain. You will drive end-to-end data modelling, ensure accuracy and auditability, and collaborate with finance, risk and compliance teams.

The role emphasizes AI-native approaches and scalable data architectures. Qualifications include 8+ years in data engineering or warehousing, strong SQL, production CDC ingestion, and ownership of data quality frameworks.

Qualifications

• 8+ years in data engineering or data warehousing, including 2+ years in payments, settlement, financial services or exchange environments.
• Strong SQL and dimensional modelling, with end-to-end ownership of at least one subject area.
• Production CDC ingestion experience, including late and out-of-order events, deduplication, soft deletes and schema evolution.
• Accuracy engineering for financial data: idempotent writes, numeric precision, reconciliation and cross-system consistency checks.
• Agent-based development capability: multi-step agent workflows, tool and data-source integration through MCP, and reusable skills; context engineering, tool-call design, agent evaluation and debugging.
• Ownership of a data quality framework, covering rule design, threshold rationale, alert response and SLA commitments.

Skills

Data Warehousing

SQL & Dim Modelling

CDC Ingestion

Data Quality

Agent-based Dev

Ownership

Compliance Awareness

Python

Java

MaxCompute

DataWorks

Snowflake

Databricks

Tools

MaxCompute

DataWorks

Snowflake

Databricks

Python

Java

Job description

OSL seeks a seasoned data engineering leader to own the payments and funds-flow data domain. You will drive end-to-end data modelling, ensure accuracy and auditability, and collaborate with finance, risk and compliance teams.

The role emphasizes AI-native approaches and scalable data architectures. Qualifications include 8+ years in data engineering or warehousing, strong SQL, production CDC ingestion, and ownership of data quality frameworks.