[Hiring] Data Engineer Dubai UAE

­­­­Position: Data Engineer

Date posted: 2025-06-09

Industry: AI & Data Warehouse Solutions

Employment type: Full Time

Experience: 4 to 8 year               

Qualification: Bachelor’s Degree is required

Salary: AED 5000 to 10000

Location: Dubai, United Arab Emirates

Company: Confidential

Description:

We are Hiring:

Title: Data Engineer – AI & Data Warehouse Solutions

Experience: 4–8 years

Location: Dubai, UAE

Department: Data & Analytics Services

Key Responsibilities:

• Design and implement end-to-end data pipelines for enterprise clients across sectors such as banking, retail, manufacturing, and government.
• Build cloud-native data lakes, data warehouses, and analytics platforms (Azure, AWS, or GCP).
• Support the integration of AI/ML models into production-grade data architectures (MLOps pipelines, model monitoring, retraining workflows).
• Conduct data profiling, cleansing, and quality checks to ensure high-integrity datasets for downstream analytics.
• Develop modular and reusable components for ETL/ELT workloads using tools such as Apache Airflow, dbt, or native cloud services.
• Collaborate with DevOps and security teams to ensure CI/CD, data governance, and compliance requirements are met.
• Work with pre-sales and project delivery teams to scope data engineering workstreams and provide client-facing technical leadership.
• Support ongoing enhancements, performance tuning, and production support of client data platforms post go-live.

Requirements:

Technical Expertise:

• Strong hands-on experience with cloud-based data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Redshift).
• Advanced skills in SQL and programming languages like Python or Scala for data manipulation and transformation.
• Knowledge of AI/ML integration, working with data scientists on feature engineering and model operationalization.
• Familiarity with real-time data streaming frameworks (Kafka, Spark, Flink) is a strong advantage.
• Understanding of data modeling, warehousing concepts, and enterprise data integration patterns.
• Experience working with ERP/CRM systems (e.g., SAP, Oracle, Dynamics 365) as data sources is preferred.

Experience & Background:

• 4–8 years of experience delivering data engineering solutions, ideally within a consulting, system integration, or managed services environment.
• Proven track record supporting enterprise data transformation projects from design through to deployment.
• Strong client engagement and documentation skills.

Certifications (Preferred):

• Azure Data Engineer Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• dbt, Snowflake, or Databricks certification is a plus