Data & Integration Engineer - GenAI

D L RESOURCES PTE LTD; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

D L RESOURCES PTE LTD in Singapore seeks a Data & Integration Engineer to bridge system analysis, enterprise integration and data engineering for GenAI initiatives. You will translate business needs into data flows, define interfaces, and ensure reliable data movement across multiple systems.

The role involves hands-on data scripting, API development and coordinating with data platforms, application, infrastructure and security teams to support SIT, UAT and production releases.

Qualifications

• Translate business requirements into data flows and integration designs.
• Design data contracts and interfaces across upstream and downstream systems.
• Balance speed, quality and maintainability in data movement.

Responsibilities

• System Analysis & Design: translate requirements to data flows and interfaces.
• Integration & Data Movement: implement data movement with APIs, SFTP and batch pipelines.
• Data Preparation for GenAI: ingested, aggregated and transformed data for AI workflows.
• Delivery & Coordination: support SIT/UAT/production rollouts across teams.

Skills

System analysis

Data integration

APIs

Data movement

GenAI data prep

Data contracts

SFTP transfers

Batch pipelines

Stakeholder communication

Troubleshooting

Tools

Informatica

Cloudera

Job description

About the Client:

Our client is an established banking and financial services organization in Singapore, the role will be within their technology department

Responsibilities:

We are looking for a Data & Integration Engineer who operates effectively at the intersection of system analysis, enterprise integration and data engineering to support GenAI initiatives .

The successful candidate will:

• Understand business and functional requirements
• Translate them into data flows and integration designs
• Work across upstream and downstream systems
• Ensure reliable movement, transformation and availability of data for GenAI use cases
• Develop scripts / programs to get data from different integration systems
• Develop APIs to integrated with relevant systems.

The focus is on getting data into the right place, in the right format, reliably .

What Matters Most

• Strong system thinking and ability to understand end to end flows
• Ability to challenge bad designs and propose better ones
• Strong stakeholder communication
• Hands on enough to troubleshoot and implement, but not a pure coder
• Experience navigating messy enterprise ecosystems

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

2. 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

3. 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.

4. 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