Senior Full-Stack & Data Integration Engineer - 12mo Contract

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Fun working environment

Employee Wellness Program

Govt. projects exposure

Structured development framework

Job summary

Activate in Singapore is seeking a senior data integration professional to lead end-to-end integration across multi-party data platforms. The role requires coordinating with system integrators and vendors, defining interface specs, and managing test plans to ensure data quality and timely delivery.

Ideal candidates will have a degree in Computer Science or related field and 7+ years of experience in complex data integrations, with familiarity of Databricks and AWS.

Qualifications

• Degree in Computer Science, Engineering, or related field.
• Experience in systems integration or full-stack engineering for large-scale data platforms.

Responsibilities

• Define and maintain interface specifications and integration frameworks for inbound and outbound data sources.
• Act as technical point of contact with System Integrator and vendors on integration matters.
• Manage integrations between subsystems across data platform, BFG, and other systems.
• Track integration progress, flag risks and delays to project manager.
• Coordinate with SI on integration working groups and ensure technical readiness for milestones.
• Own the overall integration test plan and acceptance criteria.
• Conduct end-to-end integration testing with SI and vendors before live milestones.
• Validate data completeness, accuracy, format, and schema conformance across flows.
• Escalate and resolve integration issues across vendors in a timely manner.

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Databricks

AWS

Job description

Activate in Singapore is seeking a senior data integration professional to lead end-to-end integration across multi-party data platforms. The role requires coordinating with system integrators and vendors, defining interface specs, and managing test plans to ensure data quality and timely delivery.

Ideal candidates will have a degree in Computer Science or related field and 7+ years of experience in complex data integrations, with familiarity of Databricks and AWS.