Working Student (m/f/d) Backend Development - Data Engineering

With a fleet of 287 modern container ships and a Vessel Capacity 2.2 million TEU, as well as a Container Capacity 3.2 million TEU including one of the world's largest and most modern reefer container fleets, 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 139 countries. Hapag-Lloyd has a container capacity of 11.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 114 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 deal with terminal-related activities and provide complementary logistics services at selected locations.

We are the Financial Planning Team within the Financial Analytics Department. As a young and international team, we support the company's core controlling function by developing technical solutions and backend tools. In our daily work, we collaborate closely with global stakeholders and combine business understanding with strong technical capabilities.

• Collaborate closely with the controlling department to understand data requirements and deliver backend solutions that support planning and reporting processes
• Develop, monitor and troubleshoot data pipelines leveraging Databricks to ensure reliable and timely data delivery
• Write and optimize Python scripts for data transformation, automation, and integration tasks
• Design and execute SQL queries for data extraction, validation, and analysis
• Document technical solutions, workflows, and data flows for knowledge sharing and maintainability
• Assist in the design and implementation of data models and dashboards that support planning and forecasting processes
• Support automation and scripting tasks using VBA where applicable
• Support data validation and quality assurance

• You are currently enrolled in a full-time Bachelor's or Master's program in Computer Science, Engineering, Data Science, Business Informatics or a related field
• You are passionate about backend development and building efficient, scalable systems
• You have basic knowledge of data engineering concepts, such as ETL, data warehousing, and pipeline orchestration
• You have first experience with programming languages such as SQL, Python, Spark, R or VBA
• Familiarity with Databricks and/or AWS cloud services is a plus
• You work in a structured, analytical, and reliable way
• You work independently and enjoy solving complex technical challenges
• You are a strong team player and comfortable communicating in English

• 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

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