Job Description

Want to build and operate a modern data platform while migrating from Oracle to Azure? Join our Asset Management Data Platform team as we evolve a mission-critical data warehouse into a cloud-native platform powered by Python and Postgres.

About the Role

As a Data Engineer, you will work on the design, implementation, and operation of data solutions supporting Asset Management analytics and reporting. Your work will span the full engineering lifecycle, from understanding business requirements and designing technical solutions to building, testing, deploying, and maintaining data pipelines and data products.

You will develop and optimise data models, transformations, and integrations using modern data engineering practices. You will work on a platform undergoing a full migration from a legacy Oracle stack to a modern Azure-based architecture, dealing with challenges such as data consistency, performance optimisation, and system reliability at scale.

You are expected to take ownership of your solutions in production, support deployments and releases, and actively contribute to improving engineering standards, tooling and practices.

About the Team

You will join a senior Data Platform engineering team that owns the design, build, and operation of a data warehouse and reporting platform, critical for Asset Management. The team is driving its transformation from a legacy Oracle stack to a cloud‑native Azure architecture built on Python and Postgres, with a strong focus on engineering excellence, automation, and platform reliability. We value ownership, clean design, DevOps discipline, and continuous improvement, while steadily adopting AI‑supported engineering practices across the SDLC.

About You

You are an experienced Data Engineer with a strong engineering mindset and a passion for building reliable, well‑designed data solutions. You enjoy working in complex data environments, take pride in code quality and automation, and are comfortable owning solutions end‑to‑end. You collaborate effectively in international teams and continuously look for ways to improve how software is built and operated.

Essentials

• Strong understanding of data modelling, ETL processes, and data warehousing concepts
• Solid hands‑on experience with Python for data engineering including at least one modern data processing framework (e.g. Pandas, Polars, PySpark)
• Experience working with relational databases, preferably Postgres, including schema design and performance considerations
• Strong SQL skills, including complex queries, transformations, and performance‑aware data processing
• Experience building and operating production‑grade data pipelines
• Hands-on experience designing and operating CI/CD pipelines with automated testing and quality controls
• Good communication skills and the ability to translate business requirements into technical solutions

Nice to Have

• Exposure to MSBI, Power BI, or enterprise reporting solutions
• Experience with batch scheduling and automation tools (e.g. UC4, Tidal, Control-M or similar)
• Familiarity with cloud‑native platforms, Kubernetes, or managed DBaaS environments
• Experience with modern frontend technologies such as Angular
• Knowledge of Agile development practices
• You actively use AI-supported development tools (e.g. copilots, agentic workflows) to improve code quality, productivity, and engineering outcomes

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 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 14,000 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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