Low-Code Data & AI Automation Engineer

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 250,000 - 450,000; Full time

Job summary

MBZUAI in Abu Dhabi seeks a Data and AI Automation Specialist to transform academic and operations data into decision-ready evidence, and to design, build, and maintain automated AI workflows using KNIME and n8n. The role blends hands-on development with rigorous analysis to support teaching quality, student success, program development, research performance, and accreditation.

The specialist partners with Institutional Research, CMS leadership, faculty, and IT to ensure data governance,

Qualifications

• Bachelor’s degree in statistics, data science, mathematics, CS, information systems, business analytics, or related quantitative discipline.
• Master’s degree in a relevant quantitative or computing field preferred.
• Minimum experience building automated workflows and AI-enabled solutions.

Responsibilities

• Transform academic, student, faculty, research, and operational data into evidence for planning and decision making.
• Design, build, and maintain automated AI workflows using KNIME and n8n.
• Develop dashboards, reports, and narratives for CMS leadership and stakeholders.
• Collaborate with Institutional Research and IT on data governance, access, and deployment.

Skills

SQL

Python

English fluency

API integration

Education

Bachelor’s degree

Master’s degree preferred

Tools

KNIME

n8n

Alteryx

Make

Zapier

Power Automate

Dify

Flowise

Apache Airflow

Job description

MBZUAI in Abu Dhabi seeks a Data and AI Automation Specialist to transform academic and operations data into decision-ready evidence, and to design, build, and maintain automated AI workflows using KNIME and n8n. The role blends hands-on development with rigorous analysis to support teaching quality, student success, program development, research performance, and accreditation.

The specialist partners with Institutional Research, CMS leadership, faculty, and IT to ensure data governance,