Aktuelle Jobs im Zusammenhang mit Student Position in Data Engineering - Hamburg, Hamburg - Hapag-Lloyd AG
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Data Engineering Internship
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Data Engineering Internship at Hapag-Lloyd
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Data Engineering Specialist
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Working Student
vor 3 Wochen
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Working Student
vor 3 Wochen
Hamburg, Hamburg, Deutschland Olympus VollzeitAbout the RoleWe are seeking a motivated and detail-oriented Working Student to join our team at Olympus. As a Working Student, you will play a key role in supporting our Uptime Delivery team across the EMEA region.Key ResponsibilitiesCollect and analyze data to derive relevant KPIs for our uptime promise towards our customersGenerate reports for our...
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Data Engineering Specialist
vor 2 Wochen
Hamburg, Hamburg, Deutschland All4Labels VollzeitWe are seeking a highly skilled Data Engineering Specialist to join our team at All4Labels Global Packaging Group. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining our data infrastructure and complex data solutions.Key Responsibilities:Design and implement scalable data solutions to support...
Student Position in Data Engineering
vor 3 Monaten
Working Student (m/w/d) Data Engineering
- Part Time
- Without Professional Experience
About Hapag-Lloyd
Hapag-Lloyd is a prominent player in the global shipping industry, operating a fleet of modern container vessels with significant transport capacity. The company employs around 13,500 individuals and maintains a presence in 135 countries through its extensive network of offices. Hapag-Lloyd is recognized for its efficient liner services, connecting over 600 ports worldwide, and its investments in terminal operations across various regions.
- Engage with an analytical and diverse team that collaborates with global stakeholders.
- Gain insights into Hapag-Lloyd's essential operational processes.
- Contribute to the development of a cutting-edge data platform, utilizing advanced technologies.
- Perform tasks that include data extraction, analysis, transformation, and visualization.
- Assist in the maintenance and enhancement of data operations within our Data Lakehouse.
- Analyze data sources and manage transformation processes (ETL & ELT).
- Support the automation of data pipelines.
- Pursuing a full-time degree in Data Science, Computer Science, Mathematics, or related quantitative disciplines.
- Possess relevant practical experience through internships or academic projects.
- Familiarity with programming languages such as Python, PySpark, JavaScript, and SQL.
- Passionate about Data Engineering and technologies like Databricks, Snowflake, and big data frameworks.
- Some experience with cloud services, particularly Amazon Web Services.
- Interest in Artificial Intelligence and Machine Learning.
- Proficient in Excel or QlikView/Qlik-Sense, with advanced formula skills being advantageous.
- Ability to work with complex business scenarios and translate them into effective tools and algorithms.
- Strong logical thinking skills and a methodical approach to optimization and modeling.
- Demonstrated initiative, commitment, and ability to work independently.
- Excellent communication skills in English, both written and spoken.
- Engage with a vibrant student community through networking events.
- Flexible working hours to accommodate your academic schedule.
- Work in a dynamic environment with options for remote collaboration.
- Access to a company restaurant offering a variety of meal options.
- Participate in company sports and social activities.
- Access to training programs and career development opportunities.
- Approximately 20 hours of work per week.
- Opportunity to increase hours during academic breaks.
- Initial assignment for 6 months with potential for extension, tailored to your academic path.
