Analytics Engineer

About the Position

Are you passionate about turning complex data challenges into elegant, scalable solutions? Do you thrive at the intersection of engineering, analytics, and cutting-edge AI? If so, Swiss Re wants to hear from you. Join a global leader in reinsurance and help shape the future of data-driven decision-making.

About the Role

As an Analytics Engineer, you'll be at the heart of building intelligent, scalable platforms that power information retrieval, document analytics, and enterprise knowledge systems. This is more than a development role - it's an opportunity to architect solutions that have real business impact across a global organization. You'll work in a dynamic Agile environment, partnering with business and engineering teams to design, build, and operate modern data-driven products that matter.

Responsibilities

• Design, develop, and maintain scalable data engineering and analytics solutions that meet evolving business needs
• Build end-to-end applications and services for document analytics and information retrieval, ensuring performance and reliability
• Develop robust, cloud-native solutions leveraging modern engineering practices and cutting-edge technologies
• Contribute to solution architecture, driving continuous improvement and platform reliability across the stack
• Collaborate closely with business stakeholders and cross-functional teams to translate requirements into impactful technical solutions
• Apply Agile, DevOps, and CI/CD best practices throughout the full software development lifecycle to ensure quality and speed of delivery

Requirements

• Python expertise: hands-on software development experience with strong Python programming skills (Java experience is a plus)
• Scalable data application design: Proven experience designing and building scalable, data-intensive applications from the ground up
• Core data engineering technologies: Hands-on knowledge of SQL, Apache Spark, Kubernetes, and CI/CD pipelines in production environments
• Agile development experience: Demonstrated experience working within Agile development teams, contributing to iterative delivery and continuous improvement

Nice to Have

• Experience with Palantir Foundry and its data integration and transformation capabilities
• Exposure to Large Language Models (LLMs), AI engineering, or Retrieval-Augmented Generation (RAG) techniques
• Experience working with cloud platforms such as Microsoft Azure, AWS, or equivalent

Salary

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, Swiss Re offers an attractive performance-based variable compensation component, designed to recognize your achievements. Further, you will enjoy a variety of global and location-specific benefits.

About the Company

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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