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
system thinking
and ability to understand end to end flows
challenge bad designs and propose better ones
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
About Us
: Build Your Career in Banking, Technology & Corporate Job Opportunities — Contract & Permanent Roles Available
D L Resources
provides technology managed services and outsourced staffing workforce solutions for financial services institutions, banks, multi-national corporations MNCs and technology firms. We also offer recruitment, head-hunting, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.
EA License No: 24C2333
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