Senior Data Engineer

FlightSafety International is seeking a Senior Data Engineer to design, build, and maintain modern data pipelines and architectures in a cloud-based environment. This role supports enterprise analytics by enabling scalable, reliable, and automated data solutions using Azure, Databricks, DBT, and Airflow. The engineer collaborates with analysts and stakeholders to deliver data products that drive business intelligence and advanced analytic capabilities.

Requirements

• Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and DBT
• Implement real-time and batch data processing using Delta Live Tables (DLT)
• Orchestrate data workflows using Databricks LakeFlow, Apache Airflow, and ADF pipelines
• Design and implement Data Vault 2.0 models for cloud-based data warehousing
• Develop data ingestion and replication solutions using tools such as Fivetran, SQDR, Rivery, or custom Python scripts
• Write Python and PySpark code for data transformation, cleansing, and automation
• Monitor and optimize pipeline performance, ensuring data quality and reliability
• Collaborate with analysts, architects, and business stakeholders to understand data needs
• Maintain documentation for data flows, models, and pipeline logic
• Participate in Agile ceremonies and contribute to sprint planning, reviews, and retrospectives
• Troubleshoot and resolve production issues related to data pipelines
• Contribute to CI/CD automation and DevOps practices for data engineering components

Benefits

• Competitive salary
• Opportunities for professional growth