We are seeking a highly skilled Data Engineer with expertise in PySpark and Azure to lead the improvement of our Investment Reporting System.

This role involves guiding the engineering team, implementing cloud-native solutions, and ensuring adherence to best practices.

Key Responsibilities

• Lead the development of ETL pipelines and cloud-native architectures using Azure services.
• Work hands-on with Azure Data Factory, Databricks, Functions, Event Grid, and Service Bus.
• Collaborate with Solution Architects to translate designs into actionable tasks.
• Implement DevOps practices, CI/CD pipelines, and infrastructure automation.
• Provide technical mentorship and problem-solving support to the team.

Required Qualifications

• Proven experience as a Lead Engineer or similar role.
• Hands‑on expertise in Azure services and PySpark.
• Strong experience in ETL development and database migrat...