وصف الوظيفة
We are looking for a Senior Analytics Engineer to join our growing Data team. This role sits at the intersection of data engineering and data analysis, enabling high-quality data models, and tools to empower teams across the company to make data-informed decisions. You’ll work closely with data analysts, product managers, engineers, and business leaders to transform raw data into clean, reliable, and well-documented datasets.
Responsibilities
- Own the design, development, and maintenance of our data models and transformation pipelines
- Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions
- Ensure data quality and consistency through rigorous testing, validation, and monitoring practices
- Proactively spot and fix data issues
- Maintain and document the data warehouse structure, data dictionary, and lineage
- Define and enforce data modeling best practices
- Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights
- Improve developer experience across the data stack by automating workflows and simplifying data discovery
متطلبات الوظيفة
- 4+ years of experience in analytics engineering, data engineering, or data modelling
- Expertise in SQL and modern data transformation tools (e.g., dbt) with a proven ability to write clean, maintainable code
- Strong understanding of dimensional data modeling and data warehouse design
- Familiarity with CI/CD, version control (e.g., Git), and testing practices in analytics engineering
- Hands-on experience with modern data stacks (e.g., BigQuery, Airflow, Spark, Looker, Metabase)
- Excellent communication skills and a track record of collaborating effectively across technical and non-technical teams
- Proficiency working in Arabic is a plus
- Experience in ecommerce or fintech
- Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI
- Experience working in the GCC