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Senior/Staff Analytics Engineer

Salla is an e-commerce platform company based in Saudi Arabia.
Jeddah Saudi Arabia
Data
Staff Software Engineer
Hybrid
4+ years of experience
E-Commerce

Description For Senior/Staff Analytics Engineer

Salla is seeking a Senior/Staff Analytics Engineer to join their growing Data team. This pivotal role bridges data engineering and analysis, focusing on building high-quality data models and tools that enable data-driven decision-making across the organization. The position involves close collaboration with various teams including data analysts, product managers, and business leaders to transform raw data into reliable, well-documented datasets. The ideal candidate will have extensive experience in analytics engineering, strong SQL skills, and expertise in modern data transformation tools. They will be responsible for designing and maintaining data models, ensuring data quality, and optimizing data accessibility while working in a hybrid environment in Jeddah, Saudi Arabia. This role offers an opportunity to shape the data infrastructure of a growing e-commerce company while working with cutting-edge data technologies.

Last updated a day ago

Responsibilities For Senior/Staff Analytics Engineer

  • Own the design, development, and maintenance of 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 For Senior/Staff Analytics Engineer

  • 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

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