Data & Automation Engineer (Ai Workflows & Integration)

OverviewNational University of Singapore – Queenstown.

The National University of Singapore is the national research university of Singapore.

Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.Job Title : Data & Automation Engineer (AI Workflows & Integration)Location : Kent Ridge CampusOrganization : NUS EnterpriseDepartment : ETP - AdministrationJob Requisition ID : 30393Contract : 2-year ContractNote : Please apply here for this position.

(Only applications submitted through this link will be processed.)What You'll DoBuild 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.Qualifications2-4 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 PointsKnowledge 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.Additional InformationLocation : Kent Ridge CampusJob Type : 2-year ContractOrganization : NUS EnterpriseDepartment : ETP - AdministrationImportant : Be careful - Don't provide your bank or credit card details when applying for jobs.

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