Data Engineer – Analytics & AI

AUE; Dubai; On-site; AED 220,000 - 331,000; Full time

Job summary

An academic institution in Dubai is seeking a highly skilled Data Engineer to join its Institutional Effectiveness and Data Analytics team. The successful candidate will design data pipelines and frameworks, create visualizations, and support AI-driven initiatives. Candidates should have strong skills in data engineering, SQL, and Python, as well as 3-5 years of relevant experience. A Master's degree and familiarity with cloud platforms are preferred.

Qualifications

• Strong proficiency in data engineering and pipeline design.
• Expertise in SQL and Python for data processing.
• Experience with cloud data platforms preferred.
• Solid understanding of machine learning techniques.
• Advanced skills in data visualization and BI tools.
• Ability to design KPI dashboards and executive reports.
• Familiarity with data governance quality management.
• Strong problem-solving skills.

Responsibilities

• Design, develop and maintain data pipelines for data ingestion.
• Build and optimize ETL/ELT workflows.
• Create dashboards KPIs and scorecards using BI tools.
• Develop predictive models for operational insights.
• Collaborate with departments to transform analytical needs.
• Ensure data governance and compliance with policies.

Skills

Data engineering and pipeline design

SQL

Python

Experience with cloud data platforms (Azure, AWS, GCP)

Advanced skills in BI tools (Power BI, Tableau)

Data governance and quality management

Problem-solving skills

Machine learning techniques

Education

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

3-5 years of experience in data engineering or analytics

Tools

Power BI

Docker

Kubernetes

AI/ML libraries (scikit-learn, TensorFlow, PyTorch)

Job description

Overview

The American University in the Emirates is seeking a highly skilled and motivated Data Engineer to join our Institutional Effectiveness and Data Analytics team. The successful candidate will design and implement data pipelines to support strategic decision-making institutional research accreditation and academic/administrative operations. The role involves building data ingestion frameworks from multiple sources preparing datasets for AI predictive analysis clustering and classification models and developing visualizations KPIs and scorecards for executive reporting.

Key Responsibilities

• Design, develop and maintain data pipelines for ingestion transformation and integration from diverse sources (databases APIs cloud systems ERP LMS CRM etc.).
• Build and optimize ETL/ELT workflows to ensure data accuracy, consistency and availability.
• Create dashboards KPIs and scorecards using Power BI and other visualization tools to support academic, administrative and executive stakeholders.
• Develop predictive models clustering and classification algorithms for student success, enrollment forecasting and operational insights.
• Experience deploying ML models in production using Docker, Kubernetes and serverless frameworks.
• Familiar with monitoring tools such as Prometheus, Grafana and Langfuse for real-time tracking, alerting and performance diagnostics.
• Collaborate with academic and administrative departments to identify analytical needs and transform them into scalable data solutions.
• Ensure data governance security and compliance with university and regulatory policies.
• Support AI-driven initiatives in institutional research, student engagement and accreditation compliance.
• Continuously evaluate emerging tools and methodologies for data engineering visualization and analytics.

Required Skills & Competencies

• Strong proficiency in data engineering and pipeline design (ETL/ELT).
• Expertise in SQL Python for data processing and analytics.
• Experience with cloud data platforms (Azure Data Factory AWS Glue or GCP BigQuery) preferred.
• Solid understanding of machine learning techniques: regression, classification, clustering and predictive analysis.
• Advanced skills in data visualization and BI tools: Power BI Tableau.
• Ability to design and develop KPI dashboards scorecards and executive reports.
• Familiarity with data governance quality and metadata management.
• Strong problem-solving skills with the ability to translate business questions into analytical models.
• Excellent communication and collaboration skills to work with academic and administrative stakeholders.

Qualifications

• Bachelors or Masters degree in Data Science Computer Science Information Systems Statistics or related field.
• 35 years of experience in data engineering analytics or business intelligence (experience in higher education preferred).
• Hands-on experience with AI/ML libraries (scikit-learn TensorFlow PyTorch etc.) is an advantage.
• Proven track record of building data models pipelines and visualization dashboards.
• Certification in Azure Data Engineer AWS Data Analytics or Tableau/Power BI is a plus.

Preferred Attributes

• Experience working in an academic/university setting with exposure to student information systems and accreditation reporting.
• Knowledge of institutional research methodologies and KPI frameworks.
• Strong passion for leveraging data for student success and organizational excellence.

About American University in the Emirates (AUE)

The American University in the Emirates (AUE) invites applications from well-qualified candidates for a range of faculty and administrative positions. AUE is located in Dubai Intl. Academic City.

AUE is not just a place of learning but a hub of innovation and growth where your expertise and aspirations find a welcoming environment.

At AUE we believe Nothing is Impossible is the Pathway to Success

AUE comprises seven dynamic colleges: College of Law College of Education College of Design College of Business Administration College of Media and Mass Communication College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations reflecting our commitment to providing a world-class education.

The American University in the Emirates is accredited by SACSCOC (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and masters degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels

The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation) Ministry of Education United Arab Emirates.

The College of Business Administration is a proud member of AACSB (The Association to Advance Collegiate Schools of Business) and its degree programs (Bachelor of Business Administration Master of Business Administration Master of Sport Management) are accredited by AACSB as of 2022.

The Bachelor of Computer Science in the College of Computer Information Technology is accredited by the Computing Accreditation Commission of ABET.

NASAD (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design Bachelor of Science in Graphic Design Bachelor of Science in Interior Design and Bachelor of Science in Animation in the College of Design the designation of Substantial Equivalency with accredited programs in the United States.