Working Student (m/w/d) Data Engineering

Working Student (m/w/d) Data Engineering Working Student (m/w/d) Data Engineering Part Time Ballindamm 25, 20095 Hamburg, Deutschland Without Professional Experience 7/15/24 1661627 About Hapag-Lloyd 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. Your Tasks & Responsibilities 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 Your Qualifications 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). What we offer 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  Good to know You start with us as soon as possible and work approx. 20 hours per week  During the semester break you can increase your hours up to 38 hours  We are currently planning your assignment for 6 months with the option of an extension and will, of course, also take your course of studies into account  Contact person Lisa-Marie Kroenke Manager Talent Acquisition - Students Apply online Check out our jobs list Share this job Imprint | Privacy Policy Powered by softgarden