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.
We’re hiring a Data & Automation Engineer (AI Workflows & Integration) who will design and maintain automated workflows in n8n, cleanse and transform datasets, and integrate multiple SaaS platforms and internal systems into a reliable system of record on Azure.

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.