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Urgent! Data & Automation Engineer (AI Workflows & Integration) Job Opening In Singapore, Singapore – Now Hiring NUS Enterprise
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.
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, , 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.
• 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.
• 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, , Submittable, Skipso).
• Experience in data warehousing concepts and data governance.
• Familiarity with AI/ML data requirements.
• Exposure to Git or collaborative development practices.
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.
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Unlock Your Data Automation Potential: Insight & Career Growth Guide
Real-time Data Automation Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Automation in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5967 jobs in Singapore and 5417 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Data Automation roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NUS Enterprise is currently hiring and seeking a Data & Automation Engineer (AI Workflows & Integration) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NUS Enterprise adheres to the cultural norms as outlined by Expertini.
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Before the Interview:To prepare for your Data & Automation Engineer (AI Workflows & Integration) interview at NUS Enterprise, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NUS Enterprise's products or services and be prepared to discuss how you can contribute to their success.
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