Senior Analytics Engineer

Since launching in Kuwait in 2004, the company has grown to be the leading on-demand food and Q-commerce app, providing convenience and reliability to customers. With operations in eight countries, the company offers a profound understanding of community needs and focuses on optimizing operations for restaurants and local shops while providing riders with reliable earning opportunities.

As a Senior Analytics Engineer at the company, you will play a critical role in transforming raw data into structured, reliable, and accessible data models. This will empower analysts, data scientists, and business stakeholders to make informed decisions. You will collaborate with data engineers to build scalable data pipelines and ensure data is actionable and insightful.

Key Responsibilities:

• Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt.

• Optimize query performance and data processing efficiency.

• Ensure data is structured to support self-service analytics and business intelligence.

• Collaborate with data engineers to define data requirements and enhance ETL pipelines.

• Partner with product analysts, data scientists, and business teams to meet analytical and reporting needs.

• Implement and enforce data quality best practices for accuracy and consistency.

• Develop and maintain data transformation workflows using dbt, SQL, and cloud-based platforms.

• Automate data validation and reporting processes.

• Monitor data integrity and troubleshoot data issues proactively.

• Advocate for best practices in documentation, testing, and version control.

Qualifications:

• Bachelor's degree in engineering, computer science, technology, or related fields (a postgraduate degree is a plus).

• Strong proficiency in Python, SQL, and experience with dbt for data modeling.

• Experience with cloud-based data warehouses (e.g., Snowflake, Big

Query, GCP, Redshift).

• Familiarity with version control (Git) and CI/CD practices for data workflows.

• Understanding of data engineering principles, including ETL/ELT processes.

This position offers you the opportunity to advance your career in a supportive environment committed to building a high-performance culture.