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Arada | Senior Data Engineer, Dubai

Arada

Oct 20
data-engineer Senior (5-10 yrs) Full-time
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About the role

Design, build, and optimize enterprise-scale data platforms including Data Lakes, Lakehouses, and Data Warehouses. Develop scalable data pipelines and integrate data from various enterprise systems to support analytics and AI initiatives.

What they look for

Data Engineering SQL Python PySpark Databricks Microsoft Fabric Azure Data Factory Delta Lake Data Warehousing Data Pipelines API Integration Performance Tuning Data Integration Cloud Architecture Data Lake

Requirements

Requires 8+ years of hands-on experience in data engineering, data integration, or data warehousing. Candidates must possess strong expertise in SQL, Python, PySpark, Databricks, and modern data architecture tools.

Full description

About us

At Arada, we create communities that inspire healthier, happier and more meaningful lives. Through innovative developments, exceptional customer experiences and a commitment to sustainability, we are shaping places where people can live, work and thrive.

Joining Arada means becoming part of a collaborative, ambitious and forward-thinking team dedicated to delivering excellence across every aspect of our business.

Role Purpose:

We are seeking an experienced Senior Data Engineer to design, build, and optimize enterprise-scale data platforms that enable advanced analytics, business intelligence, and AI-driven solutions. This role is responsible for delivering end-to-end data engineering solutions, from data ingestion and integration to Lakehouse, Data Warehouse, and AI enablement, ensuring scalable, reliable, and high-quality data foundations across the organization.

Key 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.

Key Responsibilities:

  • 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.

Nice to Have

  • Power BI Semantic Models and DAX.
  • Azure OpenAI, LLMs, RAG, AI Agents, and enterprise AI solutions.

Using GenAI in Your Application Process

To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.

Why join Arada?

At Arada, you'll have the opportunity to contribute to projects that transform communities while working alongside talented professionals in a culture that values innovation, collaboration and continuous growth. We are committed to creating an inclusive workplace where everyone has the opportunity to thrive and make a meaningful impact.

Equal Opportunity Statement

Arada is committed to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals and make employment decisions based on merit, experience and business needs.

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