
Senior Data Engineer | Dubai
- Dubai
- Permanent
- Full-time
1. Building and optimizing end-to-end data pipelines across multiple systems.
2. Establishing robust data quality frameworks and monitoring.
3. Enabling faster, more reliable insights for analytics and AI-driven projects.Core Responsibilities:
- Own the full data pipeline lifecycle, from source integration to data quality validation.
- Build and ship data infrastructure improvements weekly that unlock business value.
- Proactively identify data gaps and integration opportunities across our systems.
- Implement robust data quality checks and monitoring to ensure reliable analytics.
- Collaborate across workstreams to deliver data solutions that address business needs.
- 6+ years of experience in data engineering, ETL development, or related roles.
- Strong expertise in building and managing data pipelines using modern tools and frameworks.
- Proficiency in SQL, Python, and data workflow orchestration platforms (e.g., Airflow, dbt).
- Experience with cloud data platforms such as AWS, GCP, or Azure.
- Strong understanding of data modeling, warehousing, and quality assurance.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Ability to work independently and deliver high-quality solutions on tight timelines.
- Reduction in data pipeline latency and failure rates.
- Delivery of weekly infrastructure improvements that enable new analytics capabilities.
- Positive feedback from stakeholders on data reliability and accessibility.
- Increased adoption of analytics and AI solutions powered by engineered datasets.