Data Engineer — AI, Pipelines & Executive Analytics

American University; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading educational institution in the United Arab Emirates is seeking a highly skilled Data Engineer to enhance institutional research and data analytics. This role involves designing data pipelines, developing visualizations, and implementing AI models to support decision-making processes. The ideal candidate will possess strong skills in SQL and Python, and a relevant degree along with 3-5 years of experience in data engineering, preferably within higher education. Competitive salary and growth opportunities available.

Benefits

Competitive salary

Professional growth opportunities

Qualifications

• 3–5 years of experience in data engineering, analytics, or business intelligence.
• Hands-on experience with AI/ML libraries like scikit-learn, TensorFlow, or PyTorch.
• Proven track record of building data models, pipelines, and visualization dashboards.

Responsibilities

• Design, develop, and maintain data pipelines for ingestion and integration.
• Create dashboards and KPIs using Power BI and other tools.
• Develop predictive models and algorithms for various insights.

Skills

Data engineering and pipeline design

SQL

Python

Cloud data platforms

Machine learning techniques

Data visualization and BI tools

Data governance

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or related field

Tools

Power BI

Tableau

Docker

Kubernetes

Prometheus

Grafana

Job description

A leading educational institution in the United Arab Emirates is seeking a highly skilled Data Engineer to enhance institutional research and data analytics. This role involves designing data pipelines, developing visualizations, and implementing AI models to support decision-making processes. The ideal candidate will possess strong skills in SQL and Python, and a relevant degree along with 3-5 years of experience in data engineering, preferably within higher education. Competitive salary and growth opportunities available.