Senior Data Engineer – Azure Cloud & Data Platforms | CNS-ME | Abu Dhabi
Senior Data Engineer in Abu Dhabi owning Azure cloud data architecture: building scalable ETL pipelines, migrating on-prem workloads with Data Factory, Databricks, Synapse and Fabric, and designing data models/lakehouses for analytics. Needs 5+ years in data engineering with strong SQL, Python, Scala and Spark skills.
- Compensation
- Not disclosed
- Location
- Abu Dhabi, United Arab Emirates
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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 architecture, or cloud data warehousing
- Hands-on expertise in Azure cloud data services (Data Factory, Databricks, Synapse, Microsoft Fabric)
- Proficiency in big data processing frameworks (Apache Spark, Scala, Python, Java)
- Advanced SQL, T-SQL, ETL design, data modeling, and data lakehouse architecture
- Data quality validation, data governance, security compliance, and CI/CD data pipelines
- Analytical, troubleshooting, and cross-functional communication skills
- Legal work eligibility and physical availability in Abu Dhabi, UAE (immediate joiners preferred)
Nice to have
- Professional cloud certification such as Microsoft Certified: Azure Data Engineer Associate
- Prior experience in top-tier IT consulting or enterprise data services firms
- Familiarity with Apache Kafka, Hadoop, and Denodo data virtualization
- Infrastructure-as-code (Terraform) and version control (Git, GitHub, Azure DevOps)
- Agile methodologies and enterprise ticketing platforms (Jira, Confluence)
Full 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 syednaveed.uddin@cns-me.com.
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.