Analytics Engineer II

About the role

As an Analytics Engineer II at talabat, you will turn raw data into well‑structured, reliable models that empower analysts, data scientists, and business stakeholders to make data‑driven decisions. You will collaborate closely with data engineers to build scalable pipelines and ensure the data is actionable and insightful.

Key responsibilities

• Design, build, and maintain clean, efficient, and scalable data models using SQL and dbt.
• Optimize query performance and data processing efficiency.
• Support self‑service analytics and business intelligence by structuring data appropriately.
• Work with data engineers to define requirements and enhance ETL pipelines.
• Partner with product analysts, data scientists, and business teams to meet analytical and reporting needs.
• Implement data quality best practices, automate validation, and monitor data integrity.
• Advocate for documentation, testing, and version‑control standards.

Required profile

• Bachelor’s degree in engineering, computer science, technology, or a related field (post‑graduate degree a plus).
• Strong proficiency in Python and SQL.
• Experience with dbt for data modeling.
• Familiarity with cloud‑based data warehouses such as Snowflake, BigQuery, GCP, or Redshift.
• Understanding of data engineering principles, including ETL/ELT processes.
• Experience with version control (Git) and CI/CD practices for data workflows.

Required skills

• Python
• SQL
• dbt
• Snowflake
• BigQuery
• Redshift
• Git