Swiss Re

Are you a curious and driven data engineer who loves turning raw data into powerful, business-ready solutions? Do you thrive in collaborative environments where your work genuinely shapes how a company thinks, decides, and grows? If you're passionate about building the data foundations that fuel smarter decisions — we want to hear from you!

About the Role

This is your opportunity to be at the heart of a data transformation journey. As a Data Engineer within the D&T CorSo Data Engineering team, you'll play a meaningful role in designing, building, and maintaining the data infrastructure that powers analytics and business intelligence across the organisation. You'll work in a modern cloud environment, collaborating closely with stakeholders and fellow engineers to deliver scalable, high-quality data solutions that make data truly accessible and actionable.

This is not just a technical role — it's a chance to make a real impact on how data is used across a global commercial insurance business.

Key Responsibilities

• Collaborate with customers and stakeholders to deeply understand their data needs and support the integration of data into core business processes
• Design, develop, test, and maintain robust data pipelines and data management solutions that are reliable, scalable, and performant
• Support the implementation of end-to-end data flows covering ingestion, transformation, processing, and consumption layers
• Contribute to building scalable data solutions that serve analytics, reporting, and business use cases across the organisation
• Champion data transparency by creating and maintaining documentation, improving data discoverability, and enabling self -service for data consumers
• Uphold and evolve data engineering standards, best practices, and governance guidelines within the team
• Monitor and maintain data pipelines, proactively identifying and resolving data quality and performance issues across the data landscape
• Engage actively in an agile engineering team, participating in code reviews, knowledge sharing, and continuous improvement initiatives

About the Team

The D&T CorSo Data Engineering team sits at the intersection of technology and commercial insurance, with a bold ambition: to become a truly data driven commercial insurer. We find innovative ways to harness data to provide risk transfer solutions for our clients — making them, and the world, more resilient.

We are a fast-paced, forward-thinking team that leverages modern cloud technologies and big data platforms to deliver compelling analytics solutions in a competitive marketplace. You'll be joining a strong, collaborative engineering community where knowledge sharing is encouraged, best practices are celebrated, and your growth as an engineer is actively supported. Whether you're deepening your technical expertise or broadening your understanding of the insurance domain, this team offers a rich environment to develop and thrive.

About You

We're looking for someone who brings both technical depth and a genuine curiosity about data. You're someone who takes ownership, communicates clearly, and enjoys working across teams to solve complex data challenges. You're comfortable navigating ambiguity, eager to learn, and motivated by the idea of making data work harder for the business and its customers.

We are looking for candidates who meet these requirements:

• Python programming proficiency — proven ability to write clean, efficient, and maintainable code for data engineering tasks
• Data pipeline development experience — hands-on experience designing, building, and maintaining data transformation and ingestion pipelines
• Distributed data processing — familiarity with frameworks such as Apache Spark or similar technologies for large-scale data processing
• Cloud platform experience — working knowledge of cloud environments such as Microsoft Azure or AWS, including data services and storage solutions
• English language – strong communication skills both written and spoken

These are additional nice to haves:

• Experience with analytics and visualisation tools such as Power BI, Tableau, or Qlik
• Familiarity with data governance principles and metadata management practices
• Exposure to agile ways of working and collaborative engineering team environments
• Experience working in the insurance or financial services industry
• Strong communication and stakeholder engagement skills — able to translate technical concepts for non-technical audiences
• Degree in Computer Science, Applied Mathematics, Statistics, Physics or a related quantitative field — we warmly welcome applications from graduates and those at different career stages
• Data architecture understanding — solid grasp of concepts such as data warehouses, data marts, and how data flows through an organisation to support analytics
• Additional languages are a bonus

For Slovakia the base salary range for this position is between EUR 2,400 and EUR 4,100 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, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.

We are an equal opportunity employer and value diversity. We are committed to creating an inclusive environment for all — regardless of age, race,

ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities, or experiences.

We also offer flexible working arrangements to support a healthy work-life balance.

We provide feedback to all candidates. In case you have not heard from us, please check your spam folder.

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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