Junior Data Engineer
Place of work
Twin City B, Old Town, Slovakia, Bratislava (Job with occasional home office)
Twin City B, Old Town, Slovakia, Bratislava (Job with occasional home office)
Contract type
full-time
full-time
Wage (gross)
From 2 000 EUR/monthOur 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.
From 2 000 EUR/monthOur 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.
Information about the position
Job description, responsibilities and duties
Our team is at the forefront of analytics for Reinsurance spanning the entire breadth of our business. We build analytical products that focus on everything from Contract Wording to Natural Catastrophes, enabling the company to accurately manage our risks.
Joining us, you will learn the technologies that are used in modern data solutions with a focus on cloud technologies and distributed systems, but also gain experience in the application of big data techniques to solve complex problems on real data, in a collaborative environment with colleagues from Swiss Re's international offices.
A regular day with us:
-Build impactful analytical solutions end-to-end, from data sourcing to visualization
-Dive into business problems to identify the data that solves it
-Ensure the reliability, quality, and optimal performance of our data products
Our team in Bratislava is at the beginning of the journey, therefore you will have plenty of career growth opportunities in this role.
Joining us, you will learn the technologies that are used in modern data solutions with a focus on cloud technologies and distributed systems, but also gain experience in the application of big data techniques to solve complex problems on real data, in a collaborative environment with colleagues from Swiss Re's international offices.
A regular day with us:
-Build impactful analytical solutions end-to-end, from data sourcing to visualization
-Dive into business problems to identify the data that solves it
-Ensure the reliability, quality, and optimal performance of our data products
Our team in Bratislava is at the beginning of the journey, therefore you will have plenty of career growth opportunities in this role.
Employee perks, benefits
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card
Requirements for the employee
Candidates with education suit the position
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
If you possess traits and experience that match most of the below, we’d love to hear from you:
-University degree or equivalent experience in a technical role
-Good engineering skills and knowledge of at least one programming language (Python preferred)
-Good understanding of the data modelling principles
-Basic understanding of the software development lifecycle
Nice to have:
-Knowledge of advanced analytics (i.e. Machine Learning, Statistics)
-Experience with big data (i.e. Spark)
-University degree or equivalent experience in a technical role
-Good engineering skills and knowledge of at least one programming language (Python preferred)
-Good understanding of the data modelling principles
-Basic understanding of the software development lifecycle
Nice to have:
-Knowledge of advanced analytics (i.e. Machine Learning, Statistics)
-Experience with big data (i.e. Spark)
Advertiser
Brief description of the company
As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.
Number of employees
1700 and more employees
Company address
Contact
Contact person: Juraj Tucek
