"Data & Automation Engineer (AI Workflows & Integration)"

Job Description

Please apply here for this position. (Only applications submitted through this link will be processed.)

About Us

At NUS Enterprise, we’re building the foundations for smarter, AI-powered systems by automating workflows, connecting platforms, and ensuring data flows seamlessly across our enterprise stack.

The Role

You’ll work at the intersection of data and systems integration. You’ll use n8n to automate workflows, connect APIs across platforms (Xero, Workable, Quantium, Slack, Monday.com, etc.), and ensure data is structured, validated, and stored in our Azure-based system of record. You’ll also contribute to data quality and reporting that support decision-making and AI readiness.

What You’ll Do

• Build and maintain automated workflows in n8n to connect multiple SaaS and internal systems.
• Cleanse, validate, and transform datasets for consistency and reliability.
• Design and implement API integrations to enable seamless data flow across platforms.
• Contribute to maintaining the system of record hosted in Azure, ensuring data accuracy and accessibility.
• Perform exploratory data analysis to surface insights and support reporting needs.
• Develop Python and SQL scripts for data transformation and automation.
• Apply digital transformation methodologies to streamline processes and embed automation into daily operations.
• Experiment with AI-enabled tools (e.g., anomaly detection, summarisation, LLM agents) to enhance workflows.

Qualifications

What You’ll Bring

• 2–4 years of experience in workflow automation, data engineering, or systems integration.
• Hands-on experience with n8n (or similar platforms like Zapier, Power Automate).
• Strong proficiency in Python (pandas, numpy) and SQL.
• Experience working with APIs (REST/GraphQL) and integrating multiple systems.
• Familiarity with cloud environments (Azure preferred) for data storage and processing.
• Strong analytical and problem-solving skills—you can trace issues, debug integrations, and validate data.
• Excellent communication—you can explain workflows and integrations to non-technical colleagues.
• Demonstrated AI/LLM project work in past experience.

Bonus Points

• Knowledge of enterprise SaaS tools (Xero, Workable, Slack, Monday.com, Submittable, Skipso).
• Experience in data warehousing concepts and data governance.
• Familiarity with AI/ML data requirements.
• Exposure to Git or collaborative development practices.

Why Join Us?

This is your chance to shape the backbone of our digital transformation. You’ll own the workflows and integrations that make data reliable, systems connected, and AI adoption possible.

Please be informed that only shortlisted candidates will be notified.

More Information

Job Type: 2-year Contract

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department: ETP - Administration

Job requisition ID: 30393