Senior Data Engineer
Swiss Re
- Place of work: Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
- Basic wage component (gross) and other rewards: 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.
- Contract type: full-time
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.
While most of your peers and key partners are based in Zurich, the team is composed of an international workforce based in different locations, from USA to Bangalore, and serving a global customer basis.
About the Role
In this role you will work with ingesting data from private and public cloud into Azure Serverless containers, curate the data using Synapse and do predictive analysis using our strategic platform Foundry across Swiss Re.
Key responsibilities
-Design and implement 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.
While most of your peers and key partners are based in Zurich, the team is composed of an international workforce based in different locations, from USA to Bangalore, and serving a global customer basis.
About the Role
In this role you will work with ingesting data from private and public cloud into Azure Serverless containers, curate the data using Synapse and do predictive analysis using our strategic platform Foundry across Swiss Re.
Key responsibilities
-Design and implement 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
-Overall 5+ years of experience with 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 knowledge in Azure Data Lake, Azure SQL
-Experience with orchestration frameworks and Azure DevOps CI/CD tools.
-Experience in designing and developing serverless architecture
-Working experience in Azure DevOps, Azure Networking, API gateways
-In depth knowledge of distributed computing frameworks, PySpark experience is a must.
-Strong understanding of data modelling and data architecture concepts
-Working knowledge of advanced analytics (Machine Learning, Statistics) is a plus
-Hands-on experience working on Foundry Pipelines is desirable.
-Overall 5+ years of experience with 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 knowledge in Azure Data Lake, Azure SQL
-Experience with orchestration frameworks and Azure DevOps CI/CD tools.
-Experience in designing and developing serverless architecture
-Working experience in Azure DevOps, Azure Networking, API gateways
-In depth knowledge of distributed computing frameworks, PySpark experience is a must.
-Strong understanding of data modelling and data architecture concepts
-Working knowledge of advanced analytics (Machine Learning, Statistics) is a plus
-Hands-on experience working on Foundry Pipelines is desirable.
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
1000 and more employees
Contact
Contact person: Jakub Varhol