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Data & Automation Engineer (Ai Workflows & Integration) Job Opening In Queenstown – Now Hiring National University Of Singapore


Job description

OverviewNational University of Singapore – Queenstown.
The National University of Singapore is the national research university of Singapore.
Founded in **** 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: *****Contract: 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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Unlock Your Data Automation Potential: Insight & Career Growth Guide


Real-time Data Automation Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Automation in Queenstown, New Zealand, highlighting market share and opportunities for professionals in Data Automation roles.

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Are You Looking for Data & Automation Engineer (Ai Workflows & Integration) Job?

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The Work Culture

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 National University Of Singapore adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Data & Automation Engineer (Ai Workflows & Integration) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Queenstown. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data & Automation Engineer (Ai Workflows & Integration)?

Key qualifications for Data & Automation Engineer (Ai Workflows & Integration) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data & Automation Engineer (Ai Workflows & Integration) Job Success

National University Of Singapore interview tips for Data & Automation Engineer (Ai Workflows & Integration)

Here are some tips to help you prepare for and ace your Data & Automation Engineer (Ai Workflows & Integration) job interview:

Before the Interview:

Research: Learn about the National University Of Singapore's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data & Automation Engineer (Ai Workflows & Integration) interview at National University Of Singapore, 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 National University Of Singapore's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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