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Senior Data Analytics 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)
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.
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.
Information about the position
Job description, responsibilities and duties
About the Role
You will be working as Senior Data Analytics Engineer, closely collaborating with the team and partners across the organisation.
Jointly, we are contributing to our overall delivery and success of the Swiss Re Institute product portfolio with the purpose to translate foresight, research, market intelligence and sustainability initiatives into risk insights and build new commercial capabilities.
In your role you are responsible to:
- Lead data & analytics projects and partner with our business functions and senior management
- Design, build and maintain data pipelines and impactful data products in close cooperation with users and business owners
- Ensure solutions are developed and implemented following standards, using high-quality code, focusing on simplicity, performance and maintainability
- Analyse data, identify issues, build sophisticated functions and scripts
- Work within one or more scrum teams
About the Team
We build and deliver ground-breaking and robust technological capabilities to generate data-driven insights and best fit tech applications for the Swiss Re Institute consisting of Research, Engagement & Sustainability and Group Economic & Sigma Research departments. Being the link between research and applied R&D, the team drives exploitation and innovation to transfer selected capabilities into impactful and value adding data solutions.
While most of your peers and key partners are based in Zurich with representation in Bratislava in Bangalore, the team is composed of an international workforce based in different locations and serving a global customer basis.
You will be working as Senior Data Analytics Engineer, closely collaborating with the team and partners across the organisation.
Jointly, we are contributing to our overall delivery and success of the Swiss Re Institute product portfolio with the purpose to translate foresight, research, market intelligence and sustainability initiatives into risk insights and build new commercial capabilities.
In your role you are responsible to:
- Lead data & analytics projects and partner with our business functions and senior management
- Design, build and maintain data pipelines and impactful data products in close cooperation with users and business owners
- Ensure solutions are developed and implemented following standards, using high-quality code, focusing on simplicity, performance and maintainability
- Analyse data, identify issues, build sophisticated functions and scripts
- Work within one or more scrum teams
About the Team
We build and deliver ground-breaking and robust technological capabilities to generate data-driven insights and best fit tech applications for the Swiss Re Institute consisting of Research, Engagement & Sustainability and Group Economic & Sigma Research departments. Being the link between research and applied R&D, the team drives exploitation and innovation to transfer selected capabilities into impactful and value adding data solutions.
While most of your peers and key partners are based in Zurich with representation in Bratislava in Bangalore, the team is composed of an international workforce based in different locations and serving a global customer basis.
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
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.
This job offer is suitable for people who have been impacted by the invasion of Ukraine.
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.
This job offer is suitable for people who have been impacted by the invasion of Ukraine.
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.
Requirements for the employee
Candidates with education suit the position
Secondary with school-leaving examination
University education (Bachelor's degree)
University education (Master's degree)
University education (Bachelor's degree)
University education (Master's degree)
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
About You
We are seeking a hardworking person with excellent data engineering skills and proficient in Python. You have expertise in distributed computing frameworks, Spark is a must have with others being an advantage.
- hands-on experience working with CI/CD processes for data as well as data testing and monitoring
- knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure
- strong understanding of data modelling and data architecture concepts
- strong analytical skills and eagerness to fully understand a subject domain
- excellent verbal and written communication skills, being able to describe sophisticated technical concepts and results in a clear and detailed manner to non-technical audiences
- good command of English, the knowledge of other languages is an asset
You are a quick learner and eager to explore the unknown with an ability to build good working relationships with business partners. You are motivated to work optimally in diverse teams with both technical and non-technical individuals where you act as connector between business and data.
You enjoy teamwork with the ability to take ownership, be self-reliant and business value oriented while paying attention to detail.
Are you up for the challenge? We are looking forward to hearing from you!
Nice to have
- Experience in Palantir Foundry and Azure
- Worked in agile projects using agile collaboration tools (e.g. Azure DevOps or equivalent experience)
- ML knowledge and MLOps/model operationalization
- Experience in insurance/reinsurance or financial industry
We are seeking a hardworking person with excellent data engineering skills and proficient in Python. You have expertise in distributed computing frameworks, Spark is a must have with others being an advantage.
- hands-on experience working with CI/CD processes for data as well as data testing and monitoring
- knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure
- strong understanding of data modelling and data architecture concepts
- strong analytical skills and eagerness to fully understand a subject domain
- excellent verbal and written communication skills, being able to describe sophisticated technical concepts and results in a clear and detailed manner to non-technical audiences
- good command of English, the knowledge of other languages is an asset
You are a quick learner and eager to explore the unknown with an ability to build good working relationships with business partners. You are motivated to work optimally in diverse teams with both technical and non-technical individuals where you act as connector between business and data.
You enjoy teamwork with the ability to take ownership, be self-reliant and business value oriented while paying attention to detail.
Are you up for the challenge? We are looking forward to hearing from you!
Nice to have
- Experience in Palantir Foundry and Azure
- Worked in agile projects using agile collaboration tools (e.g. Azure DevOps or equivalent experience)
- ML knowledge and MLOps/model operationalization
- Experience in insurance/reinsurance or financial industry
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: 4729854
Dátum zverejnenia: 23.4.2024
2024-04-23
lokalita: Bratislava Pozícia: Database Administrator, Database Analyst, Service Engineer, Software Engineer, Systems Engineer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 2 000 EUR/month