Summary
Barbara Jöbstl is a data engineer with over a decade of software experience who transitioned from architecture into data engineering, now shaping scalable ETL pipelines and analytics on Azure using PySpark and Python. She combines an architect’s systematic thinking with software-engineering rigor—test-driven development, CI/CD, and modular design—to deliver reliable, business-aligned data solutions. At Mercedes‑Benz.io she improved performance and onboarding practices, led exploratory data analysis across diverse sources, and mentored junior engineers; she now continues that trajectory at Swiss Post. Known as a versatile generalist, she moves fluidly between hands-on data cleaning and pipeline engineering while keeping an eye on product impact and stakeholder communication. An early background in architecture informs her pragmatic approach to system design and user-focused data products.
11 years of coding experience
12 years of employment as a software developer
Software Developer, Computer Software Engineering, Software Developer, Computer Software Engineering at FH CAMPUS 02
Master's degree, Architecture, Master's degree, Architecture at Technische Universität Graz
German, English, Portuguese