Data Engineer – Azure Data Factory & D365 Integration

About the role

We are looking for a skilled Data Engineer to design, build, and maintain robust data pipelines on Azure. You will work closely with the Data and AI Manager to ensure data is available, reliable, and ready for analytics, reporting, and AI initiatives.

Key responsibilities

• Design, develop, and operate ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, or Databricks.
• Integrate data from D365 ERP, POS systems, e‑commerce platforms, and external sources into the data warehouse.
• Monitor pipeline performance, resolve failures within SLA, and maintain a pipeline success rate of ≥99%.
• Implement data‑quality checks, maintain data lineage, and produce comprehensive documentation.
• Collaborate with Data Analysts and BI developers to troubleshoot data issues.

Required profile

• Bachelor’s degree in Computer Science, Data Engineering, or IT.
• 3–5 years of hands‑on data‑engineering experience.
• Professional proficiency in Arabic and English.
• Azure Data Engineer Associate certification preferred.

Required skills

• Azure Data Factory, Synapse Analytics, Databricks
• SQL, Python, Spark
• D365 data integration – OData, Data Integrator, dual write
• Git and Azure DevOps for code management