Senior Data Engineer – Azure Cloud & Data Platforms | CNS-ME | Abu Dhabi

CNS-ME; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

CNS-ME in Abu Dhabi seeks a Senior Data Engineer focused on Azure Cloud & Data Platforms. You will own ETL pipelines, data migration to Azure, and optimization of big data platforms, partnering with cross-functional teams to deliver secure, scalable data solutions.

Candidates should have 5+ years in data engineering, expertise with ADF, Databricks, Synapse, and Fabric, and hands-on coding in Python/Scala/Java. Immediate availability preferred for a permanent role in the UAE.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Analytics, IT, or related discipline.
• 5+ years of progressive experience in data engineering, big data, cloud data warehousing, or related roles.
• Hands-on expertise in Azure cloud data services (ADF, Databricks, Synapse, Fabric).
• Proficiency in Spark, Python, Scala, Java; strong SQL/T-SQL and ETL design.

Responsibilities

• Architect, build, test, and maintain scalable ETL pipelines for EDW and Data Lakehouse environments.
• Migrate on-prem workloads to Azure using ADF, Databricks, Synapse Analytics, and Fabric.
• Design enterprise data architectures across hybrid and multi-cloud environments.
• Develop dimensional models and semantic layers for advanced analytics and BI.
• Implement data quality checks, data governance, and compliance controls.
• Collaborate with data science, software engineering, and BI teams in Agile sprints.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse

Microsoft Fabric

Python

Scala

Java

Apache Spark

SQL / T-SQL

ETL design

Data modeling

Data governance

Data quality checks

CI/CD data pipelines

Data security & compliance

Terraform

GitHub / Git

Azure DevOps

Jira

Confluence

Education

Bachelor’s or Master’s degree in Computer Science / Software Engineering / Data Analytics / IT

Tools

Terraform

GitHub

Azure DevOps

Jira

Confluence

Job description

Position Summary:

Driving advanced cloud data architecture, scalable ETL pipeline engineering, and enterprise data lakehouse modernization in Abu Dhabi, CNS-ME is actively seeking an accomplished Senior Data Engineer – Azure Cloud & Data Platforms for a permanent professional engagement. In this vital data infrastructure role, you will architect, build, and optimize high-throughput data platforms, enterprise data warehouses (EDW), and cloud migration workflows. Bringing 5+ years of progressive professional experience in data engineering and big data systems, you will empower financial and enterprise systems to achieve uncompromised data integrity, real-time analytics, and operational scalability. This prestigious career opportunity offers competitive remuneration, high technical visibility, and exceptional professional growth within a premier technology solutions enterprise.

Detailed Job Description:

As a Senior Data Engineer – Azure Cloud & Data Platforms supporting CNS-ME in Abu Dhabi, UAE, you will take full operational, architectural, and tactical ownership of ETL pipeline development, Azure cloud migration, data modeling, and big data platform optimization. Your day-to-day responsibilities include migrating on-premises workloads to Azure using Azure Data Factory, Databricks, Synapse, and Microsoft Fabric, building distributed data processing solutions in Python, Scala, Java, and Spark, and ensuring strict data governance standards. You will collaborate closely with cross-functional data science, software engineering, and business intelligence squads in Agile sprint cycles while giving preference to immediate joiners. Furthermore, you will manage application requirements by submitting your updated resume via direct email to Syed Naveed Uddin at [e-mail].

Key Responsibilities:

• Architect, develop, test, and maintain scalable, high-performance ETL pipelines for customer data, EDW, and Data Lakehouse environments.
• Migrate complex legacy on-premises ETL workflows and databases to Azure Cloud utilizing Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, and Microsoft Fabric.
• Design and optimize enterprise-scale data architectures across hybrid on-premises and multi-cloud environments.
• Build robust dimensional data models, schemas, and semantic layers supporting advanced analytics and BI reporting.
• Develop distributed data processing solutions and automated workflows utilizing SQL, T-SQL, Python, Java, Scala, and Apache Spark.
• Implement comprehensive data quality checks, automated validation rules, and end-to-end data integrity controls.
• Enforce enterprise data security, regulatory compliance, and data governance frameworks in partnership with Data Governance teams.
• Monitor, troubleshoot, tune, and optimize data pipelines and cloud infrastructure performance for maximum throughput.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Analytics, Information Technology, or related discipline.
• Minimum of 5+ years of progressive professional experience in data engineering, big data architecture, or cloud data warehousing.
• Strong, demonstrable hands-on professional expertise in Azure cloud data services (Azure Data Factory, Databricks, Synapse, Microsoft Fabric).
• Comprehensive working knowledge and practical proficiency in big data processing frameworks (Apache Spark, Scala, Python, Java).
• Deep practical experience in advanced SQL, T-SQL, ETL design, data modeling, and data lakehouse architecture.
• Solid practical grasp of data quality validation, data governance, security compliance, and CI/CD data pipelines.
• Proven analytical, troubleshooting, and cross-functional communication capabilities.
• Mandatory legal work eligibility and physical availability for professional operations in Abu Dhabi, UAE (immediate joiners preferred).

Nice-to-Have Skills:

• Professional cloud certifications such as Microsoft Certified: Azure Data Engineer Associate.
• Prior professional working experience in top-tier IT consulting firms, enterprise data services, or major technology enterprises.
• Hands-on familiarity with streaming and big data technologies including Apache Kafka, Hadoop, and Denodo data virtualization.
• Experience utilizing infrastructure-as-code (Terraform) and version control workflows (Git, GitHub, Azure DevOps).
• Exposure to agile software development methodologies and enterprise ticketing platforms (Jira, Confluence).

Recruitment Pro Tip:

• When applying for this Senior Data Engineer position through CNS-ME, ensure your resume explicitly highlights your Azure cloud migration portfolio (ADF, Databricks, Synapse), Spark/Python data processing skills, and immediate availability.

Application Information:

• Salary/Rate: Market Competitive / Enterprise Data Engineering Package
• Deadline: Open until filled (Urgent Abu Dhabi Data Engineering Opening)
• Notice Period: Immediate Joiners Preferred
• Contract Duration: Permanent / Full-Time Engagement (Abu Dhabi)
• Company Website: https://www.cns-me.com