Data & Automation Engineer (AI Workflows & Integration)

2 days ago

Singapore NUS Enterprise Full time

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.
About Us
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
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.
Seniority level
Associate
Employment type
Contract
Job function
Other
Industries
IT Services and IT Consulting
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