Senior Data Engineer | CNS Middle East | Abu Dhabi, UAE

Job Details

Job Title: Senior Data Engineer | CNS Middle East | Abu Dhabi, UAE
Recruiting Company: CNS Middle East
Job Location: Abu Dhabi, United Arab Emirates (Client Site / Offshore as required)
Job Type: Full-Time / Contract (Project-Based)
Application Method: Email CV to [email protected]
Additional Info: Budget up to 19,000 AED | Enterprise-level data programs

Position Summary

CNS Middle East is hiring an experienced Senior Data Engineer to support large-scale enterprise data initiatives in Abu Dhabi. This role is critical in designing, modernizing, and optimizing cloud-based data platforms that enable advanced analytics, reporting, and data-driven decision-making.

Detailed Job Description

As a Senior Data Engineer, you will play a key role in shaping enterprise data architecture and delivering robust, scalable data pipelines. You will lead cloud migration initiatives to Azure, modernizing ETL workflows and data platforms while ensuring governance, security, and performance standards are met. The role involves close collaboration with analytics teams, data governance stakeholders, and cross-functional IT groups. You will work hands‑on with modern Azure services such as ADF, Databricks, Synapse, and Microsoft Fabric in a complex enterprise environment. This is a high-impact role offering strong technical ownership across data engineering, cloud optimization, and big data ecosystems.

Key Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines
• Lead and execute cloud migration and optimization initiatives on Azure
• Build and manage enterprise data models and architecture frameworks
• Ensure data quality, security, lineage, and governance compliance
• Monitor platform performance and troubleshoot data pipeline issues
• Collaborate with analytics, business, and data governance teams
• Support enterprise data readiness for analytics, BI, and reporting

Required Qualifications & Skills

• Bachelor’s degree (minimum) in Computer Science, Engineering, or related field
• 5–10 years of experience in Data Engineering roles
• Strong experience with enterprise data warehouses and ETL processes
• Hands‑on expertise with Azure Data Factory, Databricks, Synapse, Microsoft Fabric
• Experience with Data Virtualization platforms (Denodo preferred)
• Strong programming and query skills: SQL, T‑SQL, Python, Java, or Scala
• Solid understanding of data modeling, governance, and quality frameworks
• Experience with big data technologies: Spark, Kafka, Hadoop

Nice‑to‑Have Skills

• Microsoft DP‑203 Data Engineering on Azure certification
• Experience supporting large, regulated enterprise environments
• Exposure to hybrid or multi-cloud data architectures
• Experience with performance tuning and cost optimization in Azure
• Strong documentation and stakeholder communication skills

Recruitment Pro Tip

To strengthen your application, clearly highlight cloud migration projects you’ve led—especially Azure ETL modernization—and quantify outcomes such as performance gains, data volume handled, or cost optimizations achieved.