Data Engineer – Analytics & AI

Dubai, United Arab Emirates | Software Development | Full-time

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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

  • 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, 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 master’s 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.