Data Engineer
Summary
Build and optimize cloud-based data pipelines using Microsoft Fabric, Spark, and PySpark to transform raw data into analytics-ready datasets for reporting and BI.
Dubai, United Arab Emirates | Posted on 05/12/2026
Work Experience: 4-6 Years Work Location: Dubai 6 Months contract role starting from July to December
Data Engineering Skills
- Data modelling for analytics (star and snowflake schemas)
- Experience with batch and incremental processing
- Data quality, validation, and reconciliation techniques
- Performance optimization and troubleshooting
Good to Have
- Having experience of building dbt-driven end-to-end pipelines
- Power BI experience (Direct Lake preferred)
Requirements
- 4 to 6 years of hands‑on experience in Data Engineering or Analytics Engineering
- Proven experience working on modern cloud-based data platforms
- Strong hands‑on experience with Microsoft Fabric, Lake House mindset
- Solid understanding and practical implementation of Medallion Architecture
- Proficiency in Spark, PySpark
- Strong SQL knowledge for data transformation and analysis
- Strong in CI/CD automatic deployment pipelines
- Experience building and managing ETL / ELT pipelines
- Microsoft Fabric certifications (DP-700) (Azure)