Data & Integration Engineer - GenAI

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

1. Integration & Data Movement

• Design and implement data movement across systems using:

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• 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:

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• 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:

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• 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