Job Description
With a fleet of 264 modern container ships and a total transport capacity of 2.0 million TEU, Hapag-Lloyd is one of the world's leading liner shipping companies. In the Liner Shipping segment, the Company has around 13,500 employees and 400 offices in 135 countries. Hapag-Lloyd has a container capacity of 2.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 113 liner services worldwide ensure fast and reliable connections between more than 600 ports across the world. In the Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2,600 employees assigned to the Terminal & Infrastructure segment handle terminal-related activities and provide complementary logistics services at selected locations.
- Are you excited to be part of an analytical and international team that interacts daily with stakeholders around the world? Then you're exactly right with us
- During your time with us, you will get to know many of Hapag-Lloyd's core processes
- As a working student, you will be part of an expert team developing a modern data platform and working with the latest technologies such as Databricks and Snowflake
- Your tasks will range from data extraction through its analysis and transformation to providing it for visualizations
- Maintenance and further development of data operations in our Data Lakehous
- Analysis of data sources and transformation (ETL & ELT) in Databricks
- Support in automating data pipelines
- You are currently pursuing a full-time degree with a focus on Data Science, Computer Science, Mathematics, or other equivalent quantitative fields
- You have already gained relevant practical experience through internships/student jobs/deepened knowledge in your studies
- You have experience in development with Python/PySpark JavaScript or other high-level programming languages as well as SQL
- You are enthusiastic about Data Engineering topics and technologies such as Databricks and Snowflake, and big data technologies like Spark
- You already have some experience with Amazon Web Services
- Your curiosity about Artificial Intelligence and Machine Learning rounds off your profile
- Good knowledge of Excel or QlikView / Qlik-Sense (including advanced formula application) is also a plus
- You are interested in working with complex business scenarios and translating them into tools and algorithms
- You enjoy applying logical thinking and working securely with optimizations, algorithms, and mathematical models
- You are characterized by a high degree of initiative and commitment, as well as very independent work organization
- You have very good communication skills in English (spoken and written).
- Be a part of our Student community: meet other students and exchange ideas during our Student Lunch & Coffee Breaks
- If flexibility is important to you: choose the working hours that best fit your college schedule
- Work with us directly in the heart of Hamburg at the Binnenalster or mobile at home
- Of course, we also take care of your physical well-being: in our company restaurant we offer yummy dishes for small and large appetites
- Take part in our company sports activities such as table tennis, dragon boat racing and yoga And if you're in the mood for music, why not join our band?
- Attractive training programs and excellent career opportunities complete your experience