NUS Enterprise
1 year ago
(30393) Data & Automation Engineer (AI Workflows & Integration)
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Company information
- Company
- NUS Enterprise
- Location
- Singapore Singapore
- Posted
- 1 year ago
Job description
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, automation, and AI, leveraging your expertise to streamline workflows, optimize data quality, and drive business outcomes. Key Responsibilities Design and maintain automated workflows in n8n to automate repetitive tasks, improve data quality, and enhance business processes. Develop and maintain data pipelines to cleanse, transform, and integrate datasets from various sources. Collaborate with cross-functional teams to integrate multiple SaaS platforms and internal systems into a reliable system of record on Azure. Develop and maintain data visualizations and reports to provide insights and drive business decisions. Stay up-to-date with the latest trends and best practices in data automation, AI, and machine learning. The Ideal Candidate You should have a strong foundation in data automation, AI, and machine learning, with experience in designing and maintaining automated workflows, data pipelines, and data visualizations. You should be familiar with n8n, Azure, and other relevant tools and technologies. You should have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. You should be a lifelong learner, staying up-to-date with the latest trends and best practices in data automation, AI, and machine learning. What We Offer Competitive salary and benefits package. Opportunity to work on cutting-edge AI-powered systems. Collaborative and dynamic work environment. Professional development opportunities. Flexible working arrangements. The opportunity to make a meaningful impact on the organization and the community.
Required skills
- competitive salary
- ai
- automation
- saas
- professional development
- azure
- machine learning
- cross-functional teams
- data quality
- integration
- data pipelines
- lifelong learning
- benefits package
- business outcomes
- ai workflows
- flexible working arrangements
- n8n
- data visualizations
- meaningful impact
- data & automation
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