System Automation & Assurance (6 months) Singapore Corporate IT

SEA Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

SEA Singapore is seeking a data engineer to design and support data pipelines that collect data from APIs and system integrations, transform, cleanse, and enrich it for analytics and operations.

You will work with data platforms and visualization tools such as Elastic to build dashboards and extract insights from structured and semi-structured data, and develop automated workflows with n8n.

The role offers exposure to ML/AI concepts as projects require.

Qualifications

• Candidates must hold a major in CS/DS/IS/Engineering.
• Experience with data platforms and visualization tools is preferred.
• Knowledge of data orchestration and APIs is a plus.

Responsibilities

• Design and support data engineering solutions collecting data via APIs and system integrations.
• Develop automated data workflows using orchestration tools like n8n.
• Work with data platforms and Elastic to build dashboards and derive insights.

Skills

Data engineering

API Integrations

ETL processes

Data cleansing

Elastic dashboards

N8N orchestration

SQL databases

Education

Bachelor's degree in Computer Science / Data Science / Information Systems / Engineering

Tools

Elastic

n8n

Job description

The role focuses on designing and supporting data engineering solutions that involve collecting data from multiple sources through APIs and system integrations, performing data transformation, cleansing, and enrichment, and managing data for analytics and operational use.

The candidate will work with data platforms and visualization tools such as Elastic to build dashboards and derive insights from structured and semi-structured data.

Responsibilities also include developing automated data workflows using orchestration tools similar to n8n to support data processing and cleanup.

The role applies core engineering principles in programming, databases, algorithms, and data management, with opportunities to gain exposure to machine learning and AI concepts in an exploratory or learning capacity, depending on project needs.

Requirements

Major in Computer Science / Data Science / Information Systems / Engineering or related fields.