Junior Data Engineer - Product Area Research & Sustainability

Are you ready to kickstart your data engineering career and make a real impact on business-critical analytics? Join us and help shape the future of risk and sustainability data at one of the world's leading reinsurers! 

 

About the Role 

 

We are looking for a curious and motivated Junior Data Engineer to join our Product Area Research & Sustainability, part of Risk Management IT. In this role, you will be at the heart of building and maintaining the data foundations that power meaningful business insights and decision-making across Group Risk Management, Group Underwriting, and the Swiss Re Institute. 

 

Key Responsibilities: 

 

• Design, development and maintenance of data pipelines and data transformations 
• Integrating data from different source systems, APIs, and databases
• Ensure data quality, consistency, and reliability across datasets and reports
• Collaborate with product and business stakeholders to understand data requirements and business use cases
• Contribute to documenting data flows, data models, and technical solutions
• Participate in agile ceremonies (planning, reviews, retrospectives) and contribute from a data perspective
• Gradually build an understanding of end‑to‑end data architectures and business processes 

 

About the Team 

 

The Research & Sustainability product area is a dynamic, cross-functional part of Risk Management IT at Swiss Re. Rather than operating as a single dedicated team, we work as a collaborative community of shared resources - bringing together diverse skills and perspectives across a broad technology stack to deliver impactful solutions. 

 

We support a wide range of critical platforms and products serving Group Risk Management, Group Underwriting, and the Swiss Re Institute - enabling data-driven decision-making, risk analytics, and sustainability insights at scale. Our work sits at the intersection of technology, research, and business impact, making quality engineering a truly meaningful and visible function within the area. 

 

About You 

 

You are genuinely curious about data and motivated to grow. You enjoy asking "why", digging into how data flows end-to-end, and helping teams build reliable and meaningful data products. You are comfortable working in a collaborative environment, confident enough to ask questions, and enthusiastic about contributing to a team where your work has real business impact. 

 

We are looking for candidates who meet these requirements: 

 

• First experience or strong interest in data engineering, analytics, or data platforms
• Basic knowledge of SQL and working with structured data
• Understanding of ETL/ELT concepts and data processing fundamentals
• Analytical mindset with the ability to work structured and detail‑oriented
• Curiosity and willingness to understand how data flows end-to-end
• Good communication skills and confidence to ask questions and clarify requirements 

 

These are additional nice to haves: 

 

• Basic knowledge of Python, PySpark, or similar data‑processing technologies
• Exposure to cloud environments or modern data platforms
• First experience with data quality checks, data validation, or data governance concepts
• Interest in risk management, insurance, reinsurance, or sustainability‑related data
• Analytical mindset with a structured, detail-oriented approach to problem-solving
• Strong communication skills — you're comfortable engaging with both technical and non-technical stakeholders 

 

What We Offer 

 

• A supportive environment to learn data engineering fundamentals alongside experienced engineers
• Hands‑on exposure to complex, business‑critical data products with real impact
• Close collaboration with product, IT, and business stakeholders
• An opportunity to engage with and contribute to AI-related initiatives and learning how modern data platforms enable machine learning and intelligent solutions
• Clear development paths and room for professional growth, including learning opportunities in advanced analytics, data engineering, platforms roles and AI topics working models and an inclusive, international team culture 

 

For 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.

#LI-Hybrid

 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

 

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