Python Developer

(FCRS = US014) Novartis Pharmaceuticals Corporation; Barcelona; Híbrido; EUR 35.000 - 65.000; Jornada completa

Descripción de la vacante

Novartis Pharmaceuticals Corporation in Barcelona, Spain is seeking a Python software engineer to design scalable backend services and cloud-native applications. This hybrid role collaborates across Finance, Data Science, and Platform Engineering to deliver robust APIs and AI-ready solutions, using AWS and containerized technologies.

Requirements include 2+ years Python, REST APIs, SQL, and English communication in Agile teams.

Formación

• 2+ years of professional Python software development experience.
• Experience building backend apps, microservices, and REST APIs.
• Familiar with SQL, relational databases, and clean coding principles.
• Experience with AWS and Docker containers.
• Strong English communication skills and Agile teamwork.

Responsabilidades

• Design and develop scalable, secure Python applications and backend services.
• Build APIs connecting enterprise systems, databases, cloud platforms, and AI services.
• Integrate Data Science and AI capabilities into production solutions.
• Develop cloud-native apps using AWS and containerized tech.

Conocimientos

Python

AWS

Docker

REST APIs

SQL

Backend development

Agile

English communication

Educación

Bachelor's or Master's in Computer Science / Software Engineering / IT

Descripción del empleo

Salary Range:

€35,000.00 - €65,000.00

Job Description Summary

#LI-Hybrid

Location: Barcelona, Spain

Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.

Ready to turn Python expertise into solutions that can reshape how Finance works? Join Novartis Digital Finance and help build scalable, secure, cloud-native applications that bring Data Science, Machine Learning, and Artificial Intelligence into real-world use. You’ll collaborate with talented cross-functional teams to develop robust backend services and enterprise solutions, while working with modern cloud technologies and emerging capabilities such as Large Language Models and Agentic Artificial Intelligence. This is an opportunity to combine strong software engineering with innovation and create solutions that deliver meaningful business impact.

Job Description

Key Responsibilities

• Design and develop scalable, secure, high-performing Python applications and backend services.
• Build robust application programming interfaces connecting enterprise systems, databases, cloud platforms, and artificial intelligence services.
• Integrate Data Science, Machine Learning, and Artificial Intelligence capabilities into reliable production solutions.
• Create reusable, well-tested software components using modern engineering and clean coding practices.
• Develop cloud-native applications using Amazon Web Services and containerized technologies.
• Strengthen software quality through automated testing, code reviews, continuous integration, and continuous deployment practices.
• Collaborate across Finance, Data Science, Platform Engineering, and technology teams to deliver impactful, user-focused solutions.

Essential Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• At least two years of professional experience developing software applications using Python.
• Strong experience building backend applications, microservices, and Representational State Transfer application programming interfaces.
• Good knowledge of Structured Query Language, relational databases, software architecture, design patterns, and clean coding principles.
• Experience with cloud platforms, preferably Amazon Web Services, and containerized applications using Docker.
• Strong English communication skills, with experience working collaboratively in Agile software development environments.

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: €35.000 to €65.000

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity & Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverseteamsrepresentative of the patients and communities we serve.

Skills Desired

Artificial Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis