Senior Data Engineer: AI-Driven Data Platform & Lakehouse

Arada; Dubai; On-site; AED 420,000 - 600,000; Full time

Job summary

Arada is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise-scale data platforms that enable analytics, BI, and AI-driven solutions. You will own end-to-end data engineering—from ingestion and integration to Lakehouse, Data Warehouse, and AI enablement—ensuring scalable, high-quality data foundations.

In this role, you will collaborate with cross-functional teams to implement robust data architectures, improve performance, and support data-driven decision

Qualifications

• 8+ years of hands-on experience in Data Engineering, Data Integration, or Data Warehousing.
• Strong expertise in SQL, Python, PySpark, Databricks, Delta Lake, and Microsoft Fabric/Azure Data Factory.
• Experience with large-scale data processing, CDC, APIs, and modern data architectures.
• Strong troubleshooting, performance tuning, and production support skills.

Responsibilities

• Design and develop scalable data pipelines for batch, incremental, and real-time data integration.
• Build and maintain Data Lake, Lakehouse, and Enterprise Data Warehouse solutions.
• Develop data solutions using SQL, Python, PySpark, Databricks, Microsoft Fabric, Delta Lake, and Azure Data Factory.
• Integrate data from multiple enterprise systems including Dynamics 365, Salesforce, APIs, and databases.
• Support end-to-end delivery from architecture and development through deployment, monitoring, and optimization.
• Enable analytics and AI initiatives through trusted, high-quality data foundations.

Skills

SQL

Python

PySpark

Databricks

Delta Lake

Azure Data Factory

Microsoft Fabric

Tools

Power BI

Job description

Arada is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise-scale data platforms that enable analytics, BI, and AI-driven solutions. You will own end-to-end data engineering—from ingestion and integration to Lakehouse, Data Warehouse, and AI enablement—ensuring scalable, high-quality data foundations.

In this role, you will collaborate with cross-functional teams to implement robust data architectures, improve performance, and support data-driven decision