Cloud Data Engineer (Remote)

About the role

A remote Cloud Data Engineer position (8+ years of experience, 4+ on cloud) designs, builds and operates cloud data pipelines and lakehouse components, bringing together operational and enterprise systems into a governed platform for analytics, reporting and AI. The client platform is built on Microsoft Azure and Fabric, with Microsoft Purview for governance.

Key responsibilities

• Build batch, incremental and CDC ingestion from ERP, operational, CRM and finance systems
• Develop ETL/ELT using Fabric Data Pipelines, Dataflows Gen2, Azure Data Factory and Spark notebooks
• Implement the medallion architecture (Bronze, Silver, Gold) on OneLake / ADLS Gen2 with Delta Lake
• Build Gold layer dimensional and semantic models with the governance and modeling lead
• Implement data quality checks, monitoring, alerting, and performance and cost optimization
• Apply CI/CD (Azure DevOps or GitHub), Git and infrastructure as code
• Register lineage and classifications in Purview and document pipelines and data contracts

Required profile

• 8+ years of data engineering, 4+ on cloud platforms (Azure preferred; AWS or GCP considered)
• Proven lakehouse and medallion implementations with Delta Lake
• Solid data warehousing and dimensional modeling (star schema, SCDs)
• Experience integrating complex enterprise sources such as SAP, Oracle and Salesforce

Required skills

• Strong hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse or Databricks
• Expert SQL and strong Python / PySpark
• Nice to have: streaming (Kafka, Event Hubs), dbt or Airflow, Power BI semantic models, logistics or supply chain experience, Arabic

Candidates apply by sending their CV to the recruiter's e-mail, stating "Cloud Engineer" in the subject line; the process is described as highly competitive.