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 is seeking a Data & Integration Engineer to bridge system analysis, enterprise integration and data engineering for GenAI initiatives.

You will translate business requirements into data flows, design interfaces, and oversee data movement across systems (APIs, SFTP, batch pipelines) while ensuring reliable data delivery and transformation for GenAI use cases. Collaboration across data platforms, application teams, security and infrastructure will be essential.

Qualifications

• Experience translating business and technical requirements into data flows and integration designs.
• Ability to work across upstream and downstream systems and engage with stakeholders.

Responsibilities

• Analyse requirements and translate into data flows and integration designs.
• Design data movement across systems using APIs, SFTP and batch pipelines.
• Support data prep for GenAI use cases (ingestion, aggregation, transformation).
• Coordinate SIT/UAT and production rollouts; document flows and interfaces.

Skills

System thinking

Stakeholder communication

Data integration

API design

Tools

Informatica

Cloudera

Data Lake

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)

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

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