Data Engineer – Analytics & AI

AUE; Dubai; Presencial; AED 240 000 - 360 000; Tempo integral

Resumo da oferta

American University in the Emirates is seeking a skilled Data Engineer to design and implement data pipelines supporting institutional effectiveness and analytics. You will prepare datasets for AI models and develop visualizations and scorecards for executive reporting.

Responsibilities include building ETL/ELT workflows, dashboards with Power BI/Tableau, and collaborating with departments to transform analytical needs into scalable data solutions while ensuring governance and compliance.

Qualificações

• Bachelor's or master's degree in data-related field.
• 35 years of experience in data engineering or BI (education preference).
• Hands-on with AI/ML libraries is a plus.
• Proven track record building data models, pipelines, and dashboards.

Responsabilidades

• Design, develop, and maintain data pipelines from diverse sources (databases, APIs, ERP/CRM, cloud).
• Build ETL/ELT workflows for accuracy and availability.
• Create dashboards and KPIs using Power BI/Tableau for stakeholders.

Conhecimentos

SQL

Python

Machine learning

Data visualization

Power BI

Tableau

Kubernetes

Docker

Formação académica

Bachelor's or Master's in Data Science / CS / IS / Statistics

Ferramentas

Azure Data Factory

AWS Glue

GCP BigQuery

Descrição da oferta de emprego

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 byCAA(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 theCollege 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.

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Employment Type : Full-Time

Experience: years

Vacancy: 1