Al Ghurair
Senior Specialist - Data Engineering
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 24/04/2026
Job overview
Date posted
10/03/2026
Location
Dubai, United Arab Emirates
Salary
AED 30,000 - 40,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
24/04/2026
Job description
The Senior Specialist - Data Engineering in Dubai is responsible for designing, developing, implementing, and managing enterprise BI reporting and ETL processes. The role drives adoption of analytics solutions through iterative prototyping, gathering business requirements, and building scalable data pipelines. The specialist ensures high-quality, robust data engineering frameworks, enables self-service analytics, and fosters a data-driven culture. This position requires close collaboration with cross-functional teams to deliver high-impact BI and analytics solutions while maintaining data integrity, performance, and scalability.
Required skills
Data engineering
ETL design and implementation
Data pipeline development
Data modeling (Star/Snowflake schema, relational and dimensional modeling)
Data warehouse, data lake, and data mart design
Business intelligence (Power BI, Tableau, Business Objects)
Alteryx for data warehousing
SQL, PL/SQL, T-SQL, Spark SQL
Python for data engineering
Airflow orchestration
Data quality, validation, and monitoring
Cloud platforms (AWS, Azure, GCP)
Requirements analysis
Data visualization and analytics
Algorithm and basic statistics knowledge
Team leadership and mentoring
Change management and configuration control
Stakeholder communication and collaboration
Key responsibilities
- Support the development of data strategy and internal processes for the organization.
- Enable self-service analytics and upskill business teams on data utilization.
- Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming structured and unstructured data from multiple sources.
- Collaborate with data scientists, analysts, and stakeholders to translate requirements into technical specifications and data models.
- Optimize data pipelines for performance, reliability, and scalability.
- Implement data quality checks, validation rules, and monitoring systems to ensure accuracy and integrity.
- Design and maintain data warehouses, data lakes, and data marts.
- Develop and maintain data processing frameworks and tools for efficient reporting and analytics.
- Manage analytics portfolio and conduct business analysis to gather requirements.
- Translate business needs into specifications for data store, warehouse, and mart design.
- Administer, develop, and implement Data Warehousing using Alteryx and BI applications (Power BI, Tableau, Business Objects).
- Support cloud-based data warehouse deployments (AWS, Azure, Google Cloud).
- Transition BI systems to Operations & Support teams ensuring availability and performance.
- Mentor junior team members and provide technical guidance.
- Develop and implement technology best practices, guidelines, and repeatable processes.
- Stay current with latest trends and recommend innovative solutions to improve data infrastructure.
Experience & skills
- Bachelor's or Master's degree in Computer Science.
- Preferred certifications in Data Warehousing, ETL, Analytics, or Reporting Solutions.
- 8-11 years of experience in data engineering, advanced analytics, and BI reporting solutions.
- Hands-on experience with Python, Airflow, SQL, PL/SQL, T-SQL, Spark SQL, and RDBMS systems (DB2, Oracle, SQL Server).
- Experience with BI tools: Power BI, Tableau, Business Objects, and Alteryx.
- Proficiency in data modeling (Star/Snowflake schema, dimensional modeling, fact/dimensional tables).
- Knowledge of algorithms and basic statistics.
- Experience working with multiple data sources and APIs.
- Strong analytical, problem-solving, and conceptual skills.
- Ability to manage multiple priorities and adapt to changing requirements.
- Excellent interpersonal, verbal, and written communication skills.
- Leadership experience, with ability to mentor and develop team members.