Data Engineer Support, Senior Associate

About the role

PwC's Advisory practice in Cairo is looking for a Senior Associate Data Engineer Support with strong expertise in the Microsoft Azure cloud ecosystem. The role keeps data infrastructure reliable and scalable by monitoring, troubleshooting and optimizing data pipelines and Azure data services, working with data teams to support analytics and business intelligence.

Key responsibilities

• Provide production support for Azure-based data pipelines, data lakes and data warehouses.
• Monitor and resolve data ingestion, transformation and performance issues across Azure Data Factory, Databricks, Synapse and other services.
• Manage and troubleshoot ETL/ELT processes to ensure data reliability and availability.
• Implement and maintain data quality checks, validation frameworks and alerting systems.
• Collaborate with data engineers and business teams to analyze and fix data discrepancies.
• Develop scripts or automation tools in Python or PowerShell to improve efficiency.
• Take part in on-call rotations for incident management and escalation support.
• Maintain documentation of data workflows, configurations and incident resolutions.
• Suggest and implement process improvements to reduce manual intervention.

Required profile

• Bachelor's degree in Computer Science, Information Systems or a related field.
• 3+ years of experience in data engineering, data platform operations or production support.
• Strong problem-solving, communication and incident management skills.

Required skills

• Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage and Azure Monitor / Log Analytics / Application Insights.
• SQL for querying and debugging data issues.
• Python or PowerShell for automation and data processing.
• Familiarity with DevOps tools (Azure DevOps, Git, CI/CD pipelines).
• Understanding of data modeling, ETL concepts and data warehousing.
• Preferred: Azure certifications (DP-203, AZ-104), Databricks orchestration, Delta Lake or Spark, ITIL, and streaming with Event Hubs or Kafka.