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

CNS Middle East; Abu Dhabi; On-site; AED 167,400 - 279,000; Full time

Job summary

A technology solutions provider is hiring a Senior Data Engineer in Abu Dhabi to drive large-scale data initiatives. The role focuses on designing and optimizing cloud-based data platforms using Azure technologies. Responsibilities include developing scalable data pipelines, managing data architecture frameworks, and ensuring data security and quality. Candidates should have 5-10 years of relevant experience and strong skills in ETL processes and cloud migration. This full-time position offers a competitive budget up to 19,000 AED with opportunity for hands-on technical leadership.

Qualifications

• 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.

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.
• Collaborate with analytics, business, and data governance teams.

Skills

Data Engineering

Cloud Migration

ETL Processes

Data Quality

SQL

Python

Azure Data Factory

Databricks

Data Virtualization

Big Data Technologies

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Azure

Spark

Kafka

Hadoop

Job description

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 [e-mail]
📌 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.