Summary
Lorcan Rae is a data engineering professional who leads Le Wagon’s global Data Engineering track, managing curriculum rollout across 40 campuses and driving hands-on updates with Python, GCP, Docker, Kubernetes and Terraform. With four years of experience pivoting from structural engineering to data education, he combines rigorous engineering discipline with practical data pipeline design, ELT workflows and CI/CD automation. Lorcan has repeatedly shipped curriculum migrations and platform updates—most notably a solo migration from Python 3.8 to 3.12—while also running cohorts, lecturing, and managing multiple student projects using Airflow, DBT, PySpark and BigQuery. He’s skilled at translating complex technical topics into engaging, deployable learning experiences and has led teams of lecturers and TAs to scale instructional quality. Based in Vilnius, he brings measurable process improvements from prior roles (including a data-driven project management tool that cut overruns) to both education and engineering delivery. Currently exploring Rust, he blends curiosity-driven learning with a track record of operational impact.
4 years of coding experience
5 years of employment as a software developer
Data Science, Computer Programming, Data Science, Computer Programming at Le Wagon
Student Exchange, Structural Engineering, Student Exchange, Structural Engineering at Czech Technical University in Prague
Master of Engineering, MEng, Master of Engineering, MEng at Swinburne University of Technology
Bachelor of Engineering (Honors), Civil Engineering, First Class Honours, GPA: 3.9/4.0, Bachelor of Engineering (Honors), Civil Engineering, First Class Honours, GPA: 3.9/4.0 at RMIT University
English