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Senior 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 3 300 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 3 300 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
About the team
Swiss Re is a risk knowledge company. Our work focuses on predicting, preparing, and protecting against the world's most significant risks, ultimately strengthening society. The Digital & Technology department has global responsibility for building and delivering solutions. Our work is about predicting, preparing and protecting against the world's biggest risks so society becomes stronger. The Digital & Technology department is globally responsible for building solutions for our business. We are diverse team of experts who are passionate in providing innovative solutions for our reinsurance business. We are currently investing in building strategic data management capabilities to ingest and harness key data sets across Swiss Re. We are looking to apply machine learning, AI, and data engineering to real-world problems.
If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:
• Work with subject-matter experts and analysts to develop automated data extraction solutions for pricing data from structured & semi-structured sources.
• Assess new and promising technologies from the AI world with regards to their business potential and technical maturity, particularly in the field of Natural Language Processing (NLP), Generative AI and MLOps.
• Design and implement data products in collaboration with data users and other engineering teams.
• Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
Swiss Re is a risk knowledge company. Our work focuses on predicting, preparing, and protecting against the world's most significant risks, ultimately strengthening society. The Digital & Technology department has global responsibility for building and delivering solutions. Our work is about predicting, preparing and protecting against the world's biggest risks so society becomes stronger. The Digital & Technology department is globally responsible for building solutions for our business. We are diverse team of experts who are passionate in providing innovative solutions for our reinsurance business. We are currently investing in building strategic data management capabilities to ingest and harness key data sets across Swiss Re. We are looking to apply machine learning, AI, and data engineering to real-world problems.
If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:
• Work with subject-matter experts and analysts to develop automated data extraction solutions for pricing data from structured & semi-structured sources.
• Assess new and promising technologies from the AI world with regards to their business potential and technical maturity, particularly in the field of Natural Language Processing (NLP), Generative AI and MLOps.
• Design and implement data products in collaboration with data users and other engineering teams.
• Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
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
Information about the selection process
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
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
To be successful in the role, you need to have these technical skills and knowledge:
• Degree in Computer Science, Statistics, Mathematics or related field.
• Working experience in Python.
• Working experience in machine learning/statistics/natural language processing.
• Ambition to build production grade data ingestion and transformation pipelines.
Additional advantages:
If you also have the following experience and interests, it is a huge plus:
• Exposure to agile development approaches (e.g., Scrum) and familiarity with tools like Azure DevOps and Confluence.
• Experience in building data ingestion and transformation pipelines, machine learning pipelines and their orchestration.
• Interest in working close to data scientists and domain experts.
• Degree in Computer Science, Statistics, Mathematics or related field.
• Working experience in Python.
• Working experience in machine learning/statistics/natural language processing.
• Ambition to build production grade data ingestion and transformation pipelines.
Additional advantages:
If you also have the following experience and interests, it is a huge plus:
• Exposure to agile development approaches (e.g., Scrum) and familiarity with tools like Azure DevOps and Confluence.
• Experience in building data ingestion and transformation pipelines, machine learning pipelines and their orchestration.
• Interest in working close to data scientists and domain experts.
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: Livia Pasztorova
ID: 4740416
Dátum zverejnenia: 23.4.2024
2024-04-23
lokalita: Bratislava Pozícia: Backend developer, Frontend developer, Python Programmer, Software Engineer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 3 300 EUR/month