Data Engineer - Analytics & AI

Full Description

The American University in the Emirates is seeking a highly skilled and motivated Data Engineerto join our Institutional Effectiveness and Data Analytics team.

The successful candidate will design and implementdata pipelinesto support strategic decision-making, institutional research, accreditation, and academic/administrative operations.

The role involves buildingdata ingestion frameworksfrom multiple sources, preparing datasets forAI, predictive analysis, clustering, and classification models, and developingvisualizations, KPIs, and scorecards for executive reporting.

Key Responsibilities

• Design, develop, and maintaindata pipelinesfor ingestion, transformation, and integration from diverse sources (databases, APIs, cloud systems, ERP, LMS, CRM, etc.).

• Build and optimizeETL/ELT workflowsto ensure data accuracy, consistency, and availability.

• Createdashboards, KPIs, and scorecardsusingPower BI and other visualization toolsto support academic, administrative, and executive stakeholders.

• Developpredictive models, clustering, and classification algorithmsfor 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.

• Ensuredata governance, security, and compliancewith university and regulatory policies.

• SupportAI-driven initiativesin institutional research, student engagement, and accreditation compliance.

• Continuously evaluate emerging tools and methodologies fordata engineering, visualization, and analytics.

Required Skills & Competencies

• Strong proficiency indata engineering and pipeline design(ETL/ELT).

• Expertise inSQL, Pythonfor data processing and analytics.

• Experience withcloud data platforms(Azure Data Factory, AWS Glue, or GCP BigQuery) preferred.

• Solid understanding ofmachine learning techniques: regression, classification, clustering, and predictive analysis.

• Advanced skills indata visualization and BI tools: Power BI, Tableau.

• Ability to design and developKPI dashboards, scorecards, and executive reports.

• Familiarity withdata 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 inData Science, Computer Science, Information Systems, Statistics, or related field.

• 3-5 years of experiencein data engineering, analytics, or business intelligence (experience in higher education preferred).

• Hands-on experience withAI/ML libraries(scikit-learn, TensorFlow, PyTorch, etc.) is an advantage.

• Proven track record of buildingdata models, pipelines, and visualization dashboards.

• Certification inAzure Data Engineer, AWS Data Analytics, or Tableau/Power BIis a plus.

Preferred Attributes

• Experience working in anacademic/university settingwith exposure tostudent information systems and accreditation reporting.

• Knowledge ofinstitutional research methodologiesand KPI frameworks.

• Strong passion forleveraging data for student success and organizational excellence.