Data Engineer for Pipelines, ML & Dashboards

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

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.