Junior Data Engineer (Maternity Cover)
Place of work
Twin City B, Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Twin City B, Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
full-time
Wage (gross)
From 1 600 EUR/monthFor Slovakia the base salary range for this position is between [EUR 1,600] and [EUR 2,600] per month (for a full-time role). The specific salary offered considers: • the requirements, scope, complexity and responsibilities of the role, • the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience. In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.
From 1 600 EUR/monthFor Slovakia the base salary range for this position is between [EUR 1,600] and [EUR 2,600] per month (for a full-time role). The specific salary offered considers: • the requirements, scope, complexity and responsibilities of the role, • the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience. In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.
Information about the position
Job description, responsibilities and duties
About the team
Solvency solutions is one of many team in our Finance InfoTech department, and our mission is to ensure an ever-changing IT platform remains stable so that our business partners can prepare timely financial figures, under the regulatory regimes of Solvency 2 (European Union), SST (Switzerland) and Solvency UK.
We are a compact, skilled and diverse team, responsible for analysis, design, development and maintenance of our solutions using Python (Pandas, Apache Spark). We value creativity, openness and We are delighted to extend our team and are searching for junior data engineer with an application engineer background that is willing to learn and motivated to grow.
You will join a large project, which is transforming our Finance systems to make more use of cloud technologies. Our systems handle large amounts of financial data, 100s of millions of financial records through the various reporting cycles. Our pipelines need to support high concurrency, accuracy and low latency when preparing and serving the data to our partners. Our primary platform is Microsoft Azure cloud, where we prefer to use Platform as a Service (PaaS). We also make extensive use of Azure Databricks, which will form the core of our data processing pipeline.
In this role you will…
Learn and grow with support of more senior data engineers and tech lead
• Work with business and IT Feature Owners, Product Owners and Architects to understand requirements, formulate solutions, and evaluate the implementation effort
• Design, develop and maintain scalable data transformation pipelines that are supported by automated tests
• Take on troubleshooting activities, ensure timely customer communication and coordinate follow-up activities
• Join Swiss Re's healthy and transparent risk culture where everyone engages in continuous risk accountability activities
Solvency solutions is one of many team in our Finance InfoTech department, and our mission is to ensure an ever-changing IT platform remains stable so that our business partners can prepare timely financial figures, under the regulatory regimes of Solvency 2 (European Union), SST (Switzerland) and Solvency UK.
We are a compact, skilled and diverse team, responsible for analysis, design, development and maintenance of our solutions using Python (Pandas, Apache Spark). We value creativity, openness and We are delighted to extend our team and are searching for junior data engineer with an application engineer background that is willing to learn and motivated to grow.
You will join a large project, which is transforming our Finance systems to make more use of cloud technologies. Our systems handle large amounts of financial data, 100s of millions of financial records through the various reporting cycles. Our pipelines need to support high concurrency, accuracy and low latency when preparing and serving the data to our partners. Our primary platform is Microsoft Azure cloud, where we prefer to use Platform as a Service (PaaS). We also make extensive use of Azure Databricks, which will form the core of our data processing pipeline.
In this role you will…
Learn and grow with support of more senior data engineers and tech lead
• Work with business and IT Feature Owners, Product Owners and Architects to understand requirements, formulate solutions, and evaluate the implementation effort
• Design, develop and maintain scalable data transformation pipelines that are supported by automated tests
• Take on troubleshooting activities, ensure timely customer communication and coordinate follow-up activities
• Join Swiss Re's healthy and transparent risk culture where everyone engages in continuous risk accountability activities
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
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)
Educational Specialization
Computer Science, Engineering, or a related field.
Language skills
English - Upper intermediate (B2)
Personality requirements and skills
• Experience in Python/Spark ( Either from University project or previous Employer if any is fine )
• Problem-solving skills and commitment to quality and timely delivery
• Passion, drive, and a belief in the value of data insights as an enabler of business performance
Nice-to-have
• Experience working with large scale software systems or distributed computing/databases as a software engineer
• Practical experience with scalable ‘big data’ data stores (Azure Data lake or Synapse preferably), practical experience applying automated testing and modern deployment practices on the for mentioned platforms, including Azure DevOps, Experience with Azure Portal and general knowledge about cloud resources and working in an Agile setup
• Experience with design and structure of solutions (Composition, Inheritance, Design Principles)
• Problem-solving skills and commitment to quality and timely delivery
• Passion, drive, and a belief in the value of data insights as an enabler of business performance
Nice-to-have
• Experience working with large scale software systems or distributed computing/databases as a software engineer
• Practical experience with scalable ‘big data’ data stores (Azure Data lake or Synapse preferably), practical experience applying automated testing and modern deployment practices on the for mentioned platforms, including Azure DevOps, Experience with Azure Portal and general knowledge about cloud resources and working in an Agile setup
• Experience with design and structure of solutions (Composition, Inheritance, Design Principles)
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: 5109168
Dátum zverejnenia: 30.6.2025
2025-06-30
lokalita: Bratislava Pozícia: Business Intelligence Specialist, Database Analyst, Python Programmer Spoločnosť: Swiss Re
Základná zložka mzdy (brutto): 1 600 EUR/month