Imagine building the technology that powers the future of Finance. As a Senior Python Developer at Novartis Digital Finance, you will help transform how Finance teams leverage Artificial Intelligence, Machine Learning, and advanced analytics to drive better decisions and business outcomes. Working at the intersection of software engineering, cloud technologies, and data science, you will design and deliver scalable, enterprise-grade solutions that bring innovative ideas to life. This is an exciting opportunity to collaborate with talented global teams, shape cutting-edge AI products, and make a meaningful impact in a fast-paced environment where innovation, learning, and collaboration are at the heart of everything we do.
What you'll do
Design and develop scalable Python applications that support Artificial Intelligence and advanced Finance solutions.
Build secure, maintainable backend services and application programming interfaces for enterprise platforms.
Collaborate with Data Scientists to operationalize Machine Learning and Artificial Intelligence solutions.
Develop cloud-native applications and integrations using modern cloud and container technologies.
Optimize application performance, reliability, and scalability for business-critical workloads.
Drive engineering excellence through automated testing, code reviews, and Continuous Integration and Continuous Delivery practices.
Contribute to technical architecture decisions and mentor developers on software engineering best practices.
What we're looking for
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Proven experience developing enterprise-grade Python applications in complex business environments.
Strong expertise in designing and building application programming interfaces and microservices.
Experience working with cloud platforms, preferably Amazon Web Services.
Solid knowledge of Structured Query Language, software architecture, and clean coding principles.
Demonstrated experience with container technologies, automated testing, and Continuous Integration and Continuous Delivery practices.
Nice to have
Experience working with Artificial Intelligence, Machine Learning, or Data Engineering teams in production environments.
Exposure to Large Language Models, Microsoft Copilot, or Agentic Artificial Intelligence frameworks.
What you'll get
€42,600.00 - €79,200.00
At Novartis, we're committed to reimagining medicine together - and rewarding the people who make it happen.
Expected Annual Base Salary Range for role: €42,600.00 to€79,200.00
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://jobeax.com/link/oySm1Gy6yJ0fh356
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.
Visa & relocation
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.
Skills Desired
Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis
Additional information
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
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