Data & Integration Engineer

Optimum Solutions (Singapore) Pte Ltd.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Optimum Solutions (Singapore) Pte Ltd. in Singapore is seeking a Data & Integration Engineer to translate business and technical requirements into data flows and robust integration designs, coordinating with upstream and downstream teams to define data contracts and interfaces.

You will design and implement data movement across systems using APIs, SFTP and batch pipelines, coordinate integrations in the Data Lake ecosystem (Informatica, Cloudera, etc.), ensure correct data transformation and

Qualifications

• Translate business/technical requirements into data flows and integration designs.
• Define data contracts and interfaces with upstream/downstream teams.
• Identify gaps, risks, and inefficiencies in data movement processes.

Responsibilities

• Analyse and design data flows and integration patterns across systems.
• Design and implement data movement using APIs, SFTP and batch pipelines.
• Coordinate data ingestion, transformation and delivery within the Data Lake ecosystem (Informatica, Cloudera).
• Support data preparation for GenAI use cases (ingestion, aggregation, enrichment) and ensure readiness for downstream AI workflows.
• Facilitate SIT, UAT and production rollouts and ensure reliability, error handling and monitoring of integrations.

Skills

Data flow design

Data contracts and interfaces

Integrations across systems

Tools

Informatica

Cloudera

Job description

Role: Data & Integration Engineer

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