Big Data Platform Engineer Intern (50% student role)
Swiss Re · Bratislava, Slovakia · 9d ago
About the Role
We are looking for an enthusiastic intern to start their career! We provide operational support for users of our big data analytics platform ranging from simple guidance through improvement of data-intensive pipelines to making platform efficient, secure, and reliable. Our team members range from PhD in Mathematics to contributors to known open-source Java libraries and Apache Big Data projects.
If you join us, you will be able to participate in a variety of initiatives. You can learn and improve your skills in activities like:
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Help internal customers use the platform better by providing guidance and handling issues.
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Optimize and clean up data processing pipelines.
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Advise users on efficiently ingesting terabytes of data from relational databases or millions of records from Kafka topics.
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Design and apply internal policies on multiple sections of the data platform, aiming on building further governance and efficiency capabilities.
About the Team
We are a diverse team connected by our passion for learning. We seek someone who loves to learn, and we will support you! We reserve time for studying, getting certificates, attending conferences, and organizing upskilling sessions. Besides client projects, we work on innovation projects to learn new methodologies and gain experience.
About You
We understand that nobody is perfect and may not meet 100% of the requirements. However, if you meet some of the criteria below and are genuinely curious about the world of data science, we would be happy to meet you.
Ideally you have the following technical skills and knowledge:
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You are studying Computer Science, a statistics program, Math or Physics
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Good knowledge of Python or Java programming language
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Knowledge of Apache Spark
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Knowledge of Algorithms
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Knowledge of database internals
If you also have the following experience and interests, it is a huge plus:
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Background in Software Engineering
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Experience in distributed computing/ databases
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Passionate about high-performance-computing, functional programming and constant optimizations
We look forward to receiving your application!
The minimum gross base salary for this role is 10 EUR/ per hour. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
Reference Code: 139386