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Senior Data Engineer
Place of work
Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
full-time
Wage (gross)
From 3 200 EUR/monthOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
From 3 200 EUR/monthOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
Information about the position
Job description, responsibilities and duties
About the Team:
Working in the Group Data Services (GDS) you will work with teams across Swiss Re to solve some of the hardest problems in the re/insurance data space using cutting-edge technologies.
The team plays a crucial role with People planning, Cloud Consumption, Infrastructure cost planning for all business units within Swiss Re.
About the Role:
In this role you will work with ingesting data from private and public cloud into Azure, curate the data using Synapse and do predictive analysis using our strategic platform Foundry across Swiss Re.
Key responsibilities
• Design and implement scalable data pipelines in collaboration with our data users and other internal teams
• Ensure reliability, data quality and optimal performance of our data assets
• Transpose complex business and analytics requirements into high-quality data assets
• Deliver high-quality code, focusing on simplicity, reusability, performance, and maintainability
• Work with solution engineers, data scientists and product owner to deliver end to end products
Working in the Group Data Services (GDS) you will work with teams across Swiss Re to solve some of the hardest problems in the re/insurance data space using cutting-edge technologies.
The team plays a crucial role with People planning, Cloud Consumption, Infrastructure cost planning for all business units within Swiss Re.
About the Role:
In this role you will work with ingesting data from private and public cloud into Azure, curate the data using Synapse and do predictive analysis using our strategic platform Foundry across Swiss Re.
Key responsibilities
• Design and implement scalable data pipelines in collaboration with our data users and other internal teams
• Ensure reliability, data quality and optimal performance of our data assets
• Transpose complex business and analytics requirements into high-quality data assets
• Deliver high-quality code, focusing on simplicity, reusability, performance, and maintainability
• Work with solution engineers, data scientists and product owner to deliver end to end products
Employee perks, benefits
You can look forward to extra rewards and benefits including:
- 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
- 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
Information about the selection process
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.
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
Follow-up/Higher Professional Education
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
About You:
• Proven relevant working experience with Azure/Python - software/data engineering skills and proficiency in programming languages
• Hands on development experience with Python is a must.
• Familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure
• Strong experience working with Azure Data Factory or Synapse studio, Azure SQL
• In depth knowledge of distributed computing frameworks, PySpark experience is a must.
• Proven relevant working experience with Azure/Python - software/data engineering skills and proficiency in programming languages
• Hands on development experience with Python is a must.
• Familiarity with system design, data structures, algorithms, storage systems, and cloud infrastructure
• Strong experience working with Azure Data Factory or Synapse studio, Azure SQL
• In depth knowledge of distributed computing frameworks, PySpark experience is a must.
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: Jakub Varhol
ID: 4509150
Dátum zverejnenia: 18.5.2023
2023-05-18
lokalita: Bratislava Pozícia: Service Engineer, Systems Engineer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 3 200 EUR/month