Senior Analytics Engineer

• Data Modeling & Architecture:
  Model complex business processes and design/refine data models.
• Data Pipelines:
  Design, build, and maintain scalable ELT/ETL workflows using Apache Airflow and dbt.
• Monitoring:
  Ensure data quality and reliability and manage data lineage.
• Build for History:
  Design and implement historical tracking for accurate reporting.
• Data Governance:
  Establish and maintain governance standards and best practices.
• Workflow Streamlining:
  Implement best practices using DBT and Airflow.
• Data Models:
  Build models for the metrics layer/semantic layer.

• 5+ years of professional full-time experience in Analytics Engineering/BI/Warehouse Modelling.
• Expert in SQL with a strong ability to write performant, readable, and DRY code.
• Extensive experience with dbt for managing the transformation layer.
• Strong understanding of data warehousing, particularly with Big Query.
• Experience with version control (Git), orchestration (Airflow), and BI tools (Metabase, Tableau, Looker).
• Knowledge of Dimensional Modeling using Kimball or Star Schema methodology.
• Proficiency in Python for scripting and data manipulation.
• Hands-on experience with data orchestration tools.

A pioneer in transforming MENA's B2B landscape, established in 2019 and backed by the Government of Dubai (DAFZA), building a digital future for trade through a comprehensive B2B ecosystem.