Summary
Arada is hiring a Senior Data Engineer in Dubai to build and optimize enterprise-scale data platforms. The role covers data pipelines, lakehouse and data warehouse solutions, and integrations with enterprise systems, APIs, and databases. Candidates should have 8+ years of relevant experience and strong skills in SQL, Python, PySpark, Databricks, Delta Lake, and Microsoft Fabric or Azure Data Factory. The role also supports analytics and AI initiatives; Power BI, Azure OpenAI, and related AI experience are listed as advantages.
The posting
As published on arada.com. Pulled from the employer's site and shown as they wrote it.
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.