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Location: 

Bratislava, SK

Big Data Software Engineer/Data Ops

 


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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About the Role


We, in the Stargate Platform Engineering team, are searching for an enthusiastic Big Data Software Engineer/DataOps who is ready for an exciting career! We focus on optimizing Big Data distributing systems, building and improving data pipelines while making our platform more efficient, secure and reliable. Our team members range from PhD in Mathematics to contributors to open-source Apache Big Data projects. Whether you are a fresh graduate or more experienced professional, we look forward to getting to know you.

 

If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:
•    Help us improve the resilience of the world by modelling/interpreting/studying real-world data, from COVID-19 analytics to models for floods and earthquakes.
•    Write Big Data pipelines and analyse how data are handled in a global company in a petabyte scale.
•    Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices, building the data backbone of the company.

 

About the Team


We are a diverse team and our passion to learn is what connects us. We are looking for a person who loves to learn and we will support you in this journey! We reserve time for studying, getting certificates, attending conferences, and we organize our own upskilling sessions as well. In addition to projects for our clients, we also work on innovation projects which allow us to learn new methodologies and gain fresh experience.

 

About You


Nobody is perfect and meets 100% of requirements. If you however meet some of the criteria below and are genuinely curious about the world of data science, we will be happy to meet you.

 

In order to be successful in the role, you need to have these technical skills and knowledge:
•    Degree in Computer Science, Computer/Electronics Engineering, Applied Mathematics, Physics or related quantitative field. We welcome different levels, including graduates.
•    Knowledge of programming languages Python and/or Java.
•    Knowledge of Apache Spark.
•    Knowledge of Linux administration or DevOps principles

 

If you also have the following experience and interests, it is a huge plus:
•    Background in software engineering.
•    Experience in distributed computing/databases.
•    Interest in high-performance-computing/algorithms.
•    AWS/Azure/GCP certificates. 

 

Thank you for taking your time to read our job advertisement. We look forward to receiving your application!
 

 

The minimum gross monthly base salary for this role is 2000 EUR full time.

Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
You can look forward to extra rewards and benefits including an attractive performance-based bonus.

 

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

 

 

 


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Reference Code: 107021 

 


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