Since launching in Kuwait in 2004, the company has become the leading on-demand food and Q-commerce app in the region, providing convenience and reliability to customers across eight countries. The company's mission is to enhance everyday life for its customers, optimize operations for restaurants and shops, and provide riders with reliable earning opportunities. The company fosters a high-performance culture and is proud to be recognized as a great place to work.
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As a Senior Analytics Engineer, you will play a crucial role in transforming raw data into structured, reliable data models that empower analysts, data scientists, and business stakeholders to make informed decisions. Your responsibilities will include:
- Designing, building, and maintaining efficient and scalable data models using SQL and dbt.
- Ensuring data is structured to support self-service analytics and business intelligence.
- Collaborating with data engineers to define data requirements and enhance ETL pipelines.
- Partnering with analysts and business teams to ensure data meets analytical needs.
- Implementing best practices for data quality to ensure accuracy and consistency.
- Developing and maintaining data transformation workflows and automating data validation and reporting processes.
- Monitoring data integrity and troubleshooting data issues.
Qualifications:
- Bachelor's degree in engineering, computer science, technology, or related fields (postgraduate degree is a plus but not required).
- Strong proficiency in Python, SQL, and experience with dbt for data modeling.
- Experience with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
- Familiarity with version control (Git) and CI/CD practices.
- Understanding of data engineering principles, including ETL/ELT processes.
Language Requirements:
Not specified but proficiency in English may be implied based on the job location and company profile.
Location: Dubai, Dubai, United Arab Emirates
Work Conditions: On-site, Full-time
