Python Application Engineer

Key tasks:
• Understand business requirements and convert them into technical specifications
• Hands-on coding in Python /PySpark
• Oversee the end-to-end application architecture
• Drive the design and build of business services that create financial data by combining input from various sources
• Take ownership for the implementation of functional and non-function requirements. Ensure a high level of test automation
• Peer reviews
• Foster sustainable relationships and become a trusted partner to team members.
• Meet with stakeholders, understand the requirements, and advise on efficient solutions
• Ensure timely customer communication and coordination of follow-up activities
• Apply and implement Agile Scrum and DevOps standard methodologies
• Contribute to the operations during quarterly closing cycles

Your main responsibilities are:
As an Application Engineer you contribute by:
• Collaborate with other team members to develop the software products within the team's scope.
• Design and implement data transformation services and data flows.
• Collaborate with other engineers in the team to ensure design decisions are aligned.
• Perform peer code reviews
• Present and communicate ideas and designs to various stakeholder for review and brainstorming
• Ensure technical design and implementation are in line with the application architecture and meet quality requirements (e.g., performance, reliability, availability)
• Implement software engineering practices to ensure the quality, performance, and maintainability of our applications

About the Team
• The position is part of the Cedent Enhancement team that is newly created in the Subledger Input Preparation Product Area. This area designs and runs business applications at the Finance IT Division of Swiss Re.
• The Product Owner is based in Bratislava and leads a team that develops and runs the next generation of finance business applications for Swiss Re.
• The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering.

You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

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