Data Engineer

JOB DETAILS: Position Title: Data Engineer Reports to: Data and AI Manager Business Line/ Department: Data and Automation/it 3. JOB PURPOSE: The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications. 4. Job Deliverables

• Accountability Description Deliverables Pipeline Success Rate ≥99% Data Freshness SLA Meets agreed refresh schedule Data Quality Score ≥95% Pipeline Documentation 100% Incident Response ≤2 hours for pipeline failures

1. Know How (applying of knowledge & skills in job tasks) Description Data Pipeline Development

• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.
• Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse.
• Monitor pipeline performance and resolve data failures promptly.

Requirements

Data Quality

• Implement data quality checks and validation within pipelines.
• Collaborate with Data Analysts and BI Developers to resolve data issues.
• Maintain data lineage and documentation for all pipelines. Note: The principal accountabilities listed above are an illustrative list and not an exhaustive list. Additional responsibilities may be added from time to time depending on organizational requirements.

1. QUALIFICATIONS, EXPERIENCE:  Minimum Qualification ­ Bachelor degree in Computer Science, Data Engineering, or IT. ­ Certified in Azure Data Engineer Associate preferred  Minimum Experience ­ Minimum Experience of 3–5 years in data engineering.  Other Requirement (Skills Set) ­ Azure Data Factory, Synapse Analytics, Databricks ­ SQL, Python, Spark for data transformation ­ D365 data integration: OData, Data Integrator, dual write ­ Data quality and testing in pipelines ­ Git and Azure DevOps for pipeline code management Arabic (Professional)

• English (Professional)