Student Assistant in Data Engineering
vor 4 Wochen
Student Assistant in Data Engineering
- Part Time
- Remote Work Available
- No Prior Experience Required
About Hapag-Lloyd
Hapag-Lloyd stands as a prominent entity in the global shipping industry, operating a fleet of 264 modern container vessels with a total transport capacity of 2.0 million TEU. With approximately 13,500 employees and 400 offices across 135 countries, the company excels in the Liner Shipping sector. Hapag-Lloyd boasts a container capacity of 2.9 million TEU, including a substantial fleet of reefer containers. The company operates 113 liner services worldwide, ensuring swift and reliable connections among over 600 ports globally. In the Terminal & Infrastructure sector, Hapag-Lloyd holds stakes in 20 terminals across Europe, Latin America, the United States, India, and North Africa, supported by around 2,600 employees dedicated to terminal-related activities and logistics services.
- Engage with an analytical and international team, collaborating with stakeholders globally.
- Gain insights into Hapag-Lloyd's core operational processes.
- Contribute to a specialized team focused on developing a cutting-edge data platform, utilizing advanced technologies such as Databricks and Snowflake.
- Participate in tasks ranging from data extraction and analysis to transformation and 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.
- Pursuing a full-time degree in Data Science, Computer Science, Mathematics, or a related quantitative field.
- Relevant practical experience through internships or academic projects is advantageous.
- Proficient in programming with Python/PySpark, JavaScript, or other high-level languages, along with SQL.
- Passionate about Data Engineering and familiar with technologies like Databricks, Snowflake, and big data tools such as Spark.
- Some exposure to Amazon Web Services is beneficial.
- Curiosity about Artificial Intelligence and Machine Learning is a plus.
- Good command of Excel or QlikView/Qlik-Sense, including advanced formula usage, is advantageous.
- Interest in tackling complex business scenarios and translating them into effective tools and algorithms.
- Strong logical thinking skills and the ability to work with optimizations, algorithms, and mathematical models.
- Demonstrated initiative, commitment, and ability to work independently.
- Excellent communication skills in English, both written and spoken.
- Engage with a vibrant student community, exchanging ideas during organized events.
- Flexible working hours to accommodate your academic schedule.
- Opportunity to work in a dynamic environment with options for remote work.
- Access to a company restaurant offering a variety of meals.
- Participation in company sports activities and social events.
- Access to attractive training programs and promising career opportunities.
- Start date and working hours will be discussed during the application process.
- Potential for increased hours during semester breaks.
- Assignment duration and extension options will be tailored to your academic commitments.
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