Data Engineering Intern
vor 2 Wochen
Your Role at Munich Re
As a Data Engineering Intern, you'll play a vital role in shaping the future of risk management within our global reinsurance operations. You'll collaborate with expert engineers and business consultants to ensure the accuracy and reliability of our data products.
- Technical Validation: Contribute to the rigorous testing and validation of data products, ensuring their quality and integrity.
- Data-Driven Innovation: Participate in the design, evaluation, and implementation of projects that leverage data to drive business insights and optimize operations.
- Collaborative Problem Solving: Work alongside experienced professionals from underwriting, business development, and data analytics to analyze complex datasets and develop innovative solutions.
- Independent Research: Demonstrate your analytical skills by independently identifying and resolving data-related challenges.
- Emerging Technologies: Explore and evaluate cutting-edge data generation technologies, such as web crawling, to enhance our data capabilities.
Your Profile
- Pursuing a Master's degree (or final year of Bachelor's) in a quantitative field like Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or Business Administration with a quantitative focus.
- A genuine passion for data engineering and data management principles.
- A strong interest in diverse technical and societal topics that extend beyond the reinsurance sector.
- Proficiency in MS Office Suite, particularly PowerPoint and Excel.
- Solid programming skills in Python and SQL.
- Experience with Pyspark, Azure, and Databricks is a valuable asset.
- Prior experience in project management or consulting is advantageous.
- A creative, open-minded, and hands-on approach, coupled with excellent communication skills for interacting with various stakeholders.
- Fluent English; basic understanding of German (Polish language proficiency is a plus).
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