Data & Integration Engineer

Lead Data & Integration Engineer

Important Information

Location: Singapore

**Key Responsibilities
**1. System Analysis & Design

• Analyse business/technical requirements and translate them into data flows and integration designs
• Work with upstream and downstream teams to define data contracts and interfaces
• Identify gaps, inefficiencies and risks in current data movement processes
• Propose pragmatic solutions balancing speed, quality and maintainability

1. Integration & Data Movement

• Design and implement data movement across systems using:

• APIs

• SFTP and file based transfers

• Batch pipelines

• Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)

• Ensure data is correctly transformed, mapped and delivered to target systems

• Troubleshoot integration issues across environments

1. Data Preparation for GenAI

• Support data ingestion and preparation for GenAI use cases:

• document ingestion

• data aggregation

• enrichment and transformation

• Work with structured and unstructured data

• Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

You are not asking them to build models, just make data usable for them.

1. Delivery & Coordination

• Work across multiple teams:

• data platforms

• application teams

• infrastructure

• security

• Support SIT, UAT and production rollouts

• Ensure integration reliability, error handling and monitoring

• Document flows, mappings and interfaces clearly