Senior Cloud Data Engineer

Experience: 8+ years (4+ on cloud) Client: Large logistics company Role summary Designs, builds and operates cloud data pipelines and lakehouse components, consolidating operational and enterprise systems into a governed platform for analytics, reporting and AI. The client platform is based on Microsoft Azure and Fabric, with Microsoft Purview for governance. Responsibilities

• Build batch, incremental and CDC ingestion from ERP, operational, CRM and finance systems
• Develop ETL/ELT with 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; document pipelines and data contracts Requirements
• 8+ years of data engineering, 4+ on cloud platforms (Azure preferred; AWS or GCP considered)
• Strong hands-on experience with Microsoft Fabric, Azure Data Factory, Synapse or Databricks
• Expert SQL and strong Python / PySpark
• Proven lakehouse and medallion implementations with Delta Lake
• Solid data warehousing and dimensional modeling (star schema, SCDs)
• Experience integrating complex enterprise sources (for example SAP, Oracle, Salesforce) Nice to have
• DP-700 (Fabric Data Engineer), DP-203 or Databricks certification
• Streaming (Kafka, Event Hubs), dbt or Airflow, Power BI semantic models
• Logistics or supply chain experience; Arabic is a plusNote: Please send your CVs to jobs@funavry.com. Clearly indicate the job title "Cloud Data Engineer" in your email subject.