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 Requirements 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