Remote Senior Data Engineer - Cloud Analytics & Lakehouse

Taraki; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

RibbtZ in the United Arab Emirates seeks a Senior Data Engineer (Cloud Analytics) to design and scale cloud data platforms, implement lakehouse architectures, and enable advanced analytics and machine learning across the enterprise. You will build scalable ETL/ELT pipelines, optimize data models, govern data quality, and deploy solutions on Azure and AWS.

Collaborate with data scientists and BI teams to deliver dashboards in Power BI while practicing DevOps and security best practices in a

Qualifications

• Bachelor's degree in computer science, engineering, or equivalent.
• Strong Python/Java and SQL skills.
• Experience with Spark/PySpark and data warehousing.
• Hands-on cloud data platform experience on Azure or AWS.
• Knowledge of data governance and security best practices.

Responsibilities

• Design and implement scalable data pipelines (ETL/ELT) for batch and real-time processing.
• Build and maintain modern data platforms using lakehouse architecture.
• Develop and optimize data models (star/snowflake schemas) for analytics.
• Ensure data quality, governance, and security across systems.
• Lead migrations to cloud platforms and integrate diverse data sources.
• Enable BI and analytics using Power BI and other tools.
• Collaborate with data scientists to support ML workflows.

Skills

Python/Java

SQL

Spark/PySpark

ETL/ELT

Data modeling

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks

Azure Data Factory

ADLS Gen2

Snowflake

Git

Docker

Power BI

Azure DevOps

Job description

RibbtZ in the United Arab Emirates seeks a Senior Data Engineer (Cloud Analytics) to design and scale cloud data platforms, implement lakehouse architectures, and enable advanced analytics and machine learning across the enterprise. You will build scalable ETL/ELT pipelines, optimize data models, govern data quality, and deploy solutions on Azure and AWS.

Collaborate with data scientists and BI teams to deliver dashboards in Power BI while practicing DevOps and security best practices in a