About the role
Division: IT
Department: Data Science Lab
Location: Athens International Airport, Building 57, Spata
Type of Employment: Full-time
Deadline: 22/09/2026
About us
AEGEAN, based in Athens, Greece, is a member of Star Alliance Group since 2010 and a proud winner of 15 SKYTRAX World Airline awards as the ‘Best Regional Airline in Europe’. Instrumental in our success have been our employees, who seek to channel their energy and motivation into the challenging industry of aviation. We are looking for enthusiastic, talented, and dedicated associates, who will become part of our family, provide services of high standards across all travel stages and contribute to the continuous improvement of our products.
If you wish to explore the exciting world of aviation, join our team!
About the role
The Data Science Lab is looking for a talented Data Engineer to join our innovative team and help shape the future of data-driven decision making. In this role, you will transform complex, large-scale data into actionable insights while designing and maintaining scalable, secure, and production-ready data solutions that power business and operational excellence.
Working closely with data scientists, analysts, and business stakeholders, you will play a key role in building the data foundations that enable advanced analytics, AI, and Generative AI initiatives. This is an exciting opportunity for someone who enjoys solving complex challenges, working with cutting-edge technologies, and delivering impactful solutions in a collaborative environment.
If you have experience with modern data platforms and technologies such as Azure, Databricks, AI/ML workloads, MLOps, LLM integrations, vector databases, predictive analytics, and AI governance, you'll have the opportunity to contribute to transformative projects at the forefront of innovation. Join us and help build the next generation of AI-powered solutions that create real business value.
What you will do
Develop and maintain robust, efficient data pipelines to collect, process, and distribute large volumes of operational and maintenance data across both on-premises and cloud environments
Design and implement relational and non-rel…
