Data Engineer: Real-Time Pipelines & Cloud Data Solutions

Wasl Group; Dubai; On-site; AED 150,000 - 200,000; Full time

Job summary

Wasl Group in Dubai is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines that support advanced analytics and BI across the organization.

This role requires a strong focus on data availability and quality, collaborating closely with data scientists and BI analysts, while utilizing cloud-native architectures, particularly on Azure. A bachelor’s degree and 5+ years of data engineering experience are essential.

Qualifications

• 5+ years of experience in data engineering.
• Proficiency in SQL and Python.
• Experience with cloud data platforms.

Responsibilities

• Design, develop, and maintain scalable batch and real‑time pipelines (ELT/ETL).
• Build and maintain data lakes, lakehouse layers, and curated datasets.
• Develop high‑performance SQL and Python code optimized for large datasets.
• Set up monitoring, alerting, and logging using observability tools.
• Contribute to data quality rules, governance, and metadata management.

Skills

SQL

Python

Big Data Technologies (Spark, Hadoop)

Data Orchestration

Data Warehousing (Fabric preferred)

Data Quality and Governance

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Azure

Terraform

GitHub Actions

Azure DevOps

Job description

Wasl Group in Dubai is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines that support advanced analytics and BI across the organization.

This role requires a strong focus on data availability and quality, collaborating closely with data scientists and BI analysts, while utilizing cloud-native architectures, particularly on Azure. A bachelor’s degree and 5+ years of data engineering experience are essential.