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Student Position in Data Engineering

vor 3 Monaten


Hamburg, Hamburg, Deutschland Hapag-Lloyd AG Vollzeit


Working Student (m/w/d) Data Engineering
  • Part Time
  • Without Professional Experience

About Hapag-Lloyd
Hapag-Lloyd stands as a prominent entity in the global shipping industry, operating a fleet of 264 advanced container vessels with a total transport capacity of 2.0 million TEU. The company employs approximately 13,500 professionals and maintains a presence in 135 countries through 400 offices. With a container capacity of 2.9 million TEU, Hapag-Lloyd boasts one of the largest and most sophisticated fleets of reefer containers. The company offers 113 liner services worldwide, ensuring swift and dependable connections across over 600 ports globally. In addition, Hapag-Lloyd holds stakes in 20 terminals across Europe, Latin America, the United States, India, and North Africa, with around 2,600 employees dedicated to terminal-related operations and supplementary logistics services.

Your Responsibilities
  • Engage with an analytical and diverse team, collaborating with stakeholders from various regions.
  • Gain insights into Hapag-Lloyd's essential processes during your tenure.
  • Contribute to a specialized team focused on developing a cutting-edge data platform, utilizing modern technologies such as Databricks and Snowflake.
  • Participate in tasks ranging from data extraction, analysis, and transformation to preparing data for visualization.
  • Assist in the maintenance and enhancement of data operations within our Data Lakehouse.
  • Analyze data sources and perform transformations (ETL & ELT) using Databricks.
  • Support the automation of data pipelines.
Your Profile
  • Pursuing a full-time degree in Data Science, Computer Science, Mathematics, or a related quantitative field.
  • Relevant practical experience through internships or student jobs, or advanced knowledge gained through studies.
  • Proficient in development using Python/PySpark, JavaScript, or other high-level programming languages, along with SQL.
  • Passionate about Data Engineering and technologies such as Databricks, Snowflake, and big data solutions like Spark.
  • Familiarity with Amazon Web Services is advantageous.
  • Curiosity about Artificial Intelligence and Machine Learning enhances your profile.
  • Good command of Excel or QlikView/Qlik-Sense, including advanced formula application, is a plus.
  • Interest in tackling complex business scenarios and translating them into effective tools and algorithms.
  • Enjoy applying logical reasoning and working confidently with optimizations, algorithms, and mathematical models.
  • Demonstrate a high level of initiative, commitment, and independent work organization.
  • Excellent communication skills in English, both spoken and written.
What We Provide
  • Become part of our student community, connecting with peers during organized lunch and coffee breaks.
  • Enjoy flexible working hours that accommodate your academic schedule.
  • Work directly in a central location or remotely from home.
  • Benefit from our company restaurant offering a variety of meals for all appetites.
  • Participate in company sports activities, including table tennis, dragon boat racing, and yoga.
  • Access attractive training programs and excellent career advancement opportunities.
Additional Information
  • Start your journey with us and work approximately 20 hours per week.
  • During semester breaks, you may increase your hours up to 38.
  • Your assignment is planned for 6 months, with the possibility of extension, considering your academic path.