Senior Analytics Engineer

Job Description

• Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
• We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
• Here at talabat, we are building a high performance culture through engaged workforce and growing talent density.
• Were all about keeping it real and making a difference.
• Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes.
• We are proud to be a multi great place to work award winner.
• ****Job Description****
• As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders.
• To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
• As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions.
• You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
• 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.
• Work closely with data engineers to define data requirements and enhance ETL pipelines.
• Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
• Implement and enforce data quality best practices to ensure accuracy and consistency.
• Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data 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

• Bachelors degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
• Strong proficiency in Python, SQL and experience with dbt for data modeling.
• Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
• Familiarity with version control (Git) and CI/CD practices for data workflows.
• Understanding of data engineering principles, including ETL/ELT processes.

Job Details

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