Python Developer in Deutschland bei Solveva

Join a high-performing international team developing ambitious and innovative complex products suite for the Insurance and Reinsurance industry. You´ll have the opportunity to work internationally with market leading companies. We value passion for quality development and strive to create an atmosphere of trust and freedom of action in the team.

About the Project‍

The project is dedicated to a global player within the Insurance industry. It aims to unify rating and pricing approaches of our client, while ensuring state of the art flexibility, robustness, speed, and maintainability. One of the challenges of this project is the fast and robust handling of the enormous amount of data that will be used in pricing, rating and reporting.

Our tech stack: FastAPI, Kafka, PostgreSQL, Kubernetes, GitHub, Nexus

We also use: NumPy, PyTorch, Polars, Pandas, Numba, PySpark

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About the Role

We are looking for a Python Developer with excellent development skills, willing to work on pricing projects for the Insurance industry. Ready to fully collaborate on the architecture and to design state-of-the-art data management solutions within an international implementation team.

What you´ll be doing

• Design challenging computational flows
• Design challenging data parsing and data modelling solutions
• Evaluation and implementation of latest libraries for data management
• Active collaboration with multi-national teams within PO, Business Analysts, internal and client-side developers’ from Europe, providing full support and defining deadlines
• Active communication with stakeholders from different hierarchies' levels and diverse backgrounds, understanding the projects’ environment, obstacles and identifying possible solutions, demonstrating analytical and problem-solving skills
• Work on different projects simultaneously and cope with tight deadlines

What you´ll need

• Bachelor’s or Master’s degree in Informatics/Data Science/Mathematics/Physics
• English proficiency
• Practical professional experience in implementing solutions with Python
• Over 3 years of professional experience in Software Development
• Advanced knowledge in Python
• Good understanding of data structures, algorithms, numerical and concurrent programming
• Experience with DevOps, CI/CD and Agile methodologies
• Team-oriented, reliable, and self-driven
• Service-orientation with a strong focus on customer satisfaction

Will be a plus

• Experience using FastApi/Apache Spark / PySpark / Kafka
• Front- End Experience

We want our team to be willing to take risks and to challenge the status quo. We recognize that having an open mind is essential for a company to remain competitive and to stay ahead of the curve.

20 years
of insurance-driven software

20

Join a high-performing international team developing ambitious and innovative complex products suite for the Insurance and Reinsurance industry. You´ll have the opportunity to work internationally with market leading companies. We value passion for quality development and strive to create an atmosphere of trust and freedom of action in the team.

About the Project‍

The project is dedicated to a global player within the Insurance industry. It aims to unify rating and pricing approaches of our client, while ensuring state of the art flexibility, robustness, speed, and maintainability. One of the challenges of this project is the fast and robust handling of the enormous amount of data that will be used in pricing, rating and reporting.

Our tech stack: FastAPI, Kafka, PostgreSQL, Kubernetes, GitHub, Nexus

We also use: NumPy, PyTorch, Polars, Pandas, Numba, PySpark

‍

About the Role

We are looking for a Python Developer with excellent development skills, willing to work on pricing projects for the Insurance industry. Ready to fully collaborate on the architecture and to design state-of-the-art data management solutions within an international implementation team.

What you´ll be doing

• Design challenging computational flows
• Design challenging data parsing and data modelling solutions
• Evaluation and implementation of latest libraries for data management
• Active collaboration with multi-national teams within PO, Business Analysts, internal an