onsite
Executive Azure Data Engineer
Data Engineer
Lead the design and implementation of scalable data pipelines on Azure, integrating AWS Glue services to support the Digital Finance Center of Excellence. Drive data ingestion, transformation, and analytics for finance‑focused solutions.
About the role
Key Responsibilities
- Architect, build, and maintain end‑to‑end data pipelines using Azure Data Factory and Azure Databricks.
- Integrate AWS Glue workloads with Azure services to enable cross‑cloud data movement and processing.
- Collaborate with finance domain experts to translate business requirements into robust data models and ETL processes.
- Implement data quality, monitoring, and performance optimization practices across all pipelines.
- Mentor junior engineers and promote best practices for data engineering within the Digital Finance CoE.
Requirements
- 5+ years of professional experience in data engineering, with strong expertise in Azure Data Factory and Azure Databricks.
- Hands‑on experience with AWS Glue and cross‑cloud data integration.
- Proficiency in SQL, Python/Scala, and building scalable data models for finance or similar domains.
- Solid understanding of cloud security, networking, and governance in Azure and AWS environments.
- Excellent problem‑solving skills and ability to work autonomously in a fast‑paced, executive‑level setting.