Description

Location:Bratislava, SK

Looking for an opportunity to work on large-scale data challenges, modern data platforms, and solutions that deliver real business impact?

Join a team that transforms data from around 130 business applications into trusted analytical assets that power more than 200 analytical use cases across Swiss Re's Corporate Solutions (CorSo) business unit. These data assets serve as a single source of truth for a wide range of analytical and reporting needs and are accessed tens of thousands of times each month.

As a Data Engineer in our D&T CorSo Data Architecture & Engineering team, you'll help create the analytical foundation that enables data-driven decision making across the business.

Using modern data engineering technologies and AI-assisted development tools, you'll solve complex data challenges, build scalable data products, and transform data into trusted analytical assets used across the business.

About the Role

As a Data Engineer within the D&T CorSo Data Architecture & Engineering team, you'll design, build, and maintain data products that power analytics, reporting, and business decision-making across Swiss Re.

You'll work mainly with Palantir Foundry and PySpark to build scalable data solutions and transform complex source data into trusted analytical assets. Working closely with stakeholders across the business, you'll help ensure data is accessible, reliable, and fit for a wide range of analytical and reporting needs.

Beyond data engineering, you'll gain exposure to enterprise-scale data modelling and data governance, providing excellent opportunities to broaden both your technical and architectural expertise.

Key Responsibilities

• Collaborate with customers and stakeholders to deeply understand their data needs and translate the into the integration of data into scalable data solutions that support business processes
• Develop, test, and maintain data pipelines and data management solutions
• Design and implementation of data flows for data ingestion, transformation, processing, and consumption
• Contribute to building reliable and scalable data solutions that suport analytics, reporting, and business decision-making
• Improve data transparency through documentation, metadata management, and support for self-service data consumption
• Monitor data pipelines and support data quality, performanc, and reliability while following data engineering standards, best practices, and governance guidelines

About the Team

The D&T CorSo Data Architecture & Engineering team is a collaborative community of more than 50 data engineers and architects working together to enable data-driven decision-making across Swiss Re.

We value knowledge sharing, engineering excellence, and continuous learning. Whether you're discussing data modelling approaches, optimising distributed processing workloads, or exploring new platform capabilities, you'll have access to experienced colleagues and opportunities to develop both your technical and business domain expertise.

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.

Nobody is perfect and meets 100% of our requirements. If you, however, meet some of the criteria below and are curious about the world of data, we will be more than happy to meet you!

We are looking for candidates who meet these requirements:

• Python and SQL 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
• English 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
• Cloud platform experience - familiarity with one of cloud environments such as Microsoft Azure or AWS
• Data architecture understanding - data warehouses, data marts
• Degree in Computer Science, Applied Mathematics, Statistics, Physics or a related quantitative field
• Experience working in the insurance or financial services industry
• Exposure to agile ways of working and collaborative engineering team environments

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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Reference Code: 138087

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