Senior Data Engineer

About FlightSafety International

FlightSafety International is the world’s premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world’s largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.

Purpose of Position

The Senior Data Engineer is a hands-on technical expert responsible for designing, building, and maintaining 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 across teams to deliver high-quality data products that drive business intelligence and advanced analytic.

Tasks and Responsibilities

• 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 and deliver consistent datasets
• Maintain documentation for data flows, models, and pipeline logic
• Support data governance, metadata management, and compliance initiatives
• Participate in Agile ceremonies and contribute to sprint planning, reviews, and retrospectives
• Troubleshoot and resolve production issues related to data pipelines and integrations
• Contribute to CI / CD automation and DevOps practices for data engineering components
• Provide input on architectural decisions and participate in enterprise data strategy discussions
• Infrequent travel as needed

Minimum Education

Minimum Experience

Knowledge, Skills, Abilities