The role

• Leading the design and maintenance of scalable backend services, APIs, databases and cloud-native applications.
• Definition and further development of the integration strategy across tools and data platforms to create centralized and scalable solution frameworks that enable business growth and operational efficiency.
• Enabling seamless data exchange and interoperability between functions and operating companies.
• Leading the introduction and further development of AI-supported automation, analysis and reporting solutions.
• Strengthening data governance and maintaining trusted central data sources (“Single Sources of Truth”).
• Scaling and improving existing tools to increase resilience, reduce risks and maximize business value.
• Collaboration with product owners, engineers and subject matter experts to deliver effective solutions.
• Promoting engineering excellence and best practices in design, testing, documentation and software delivery.
• Taking on technical leadership as well as mentoring and coaching within the engineering teams to promote best practices and continuous improvement.

Your profile

• Master's degree in Computer Science, Software Engineering, Data Engineering or a related field.
• More than 8 years of experience in backend or software engineering roles.
• Solid knowledge of Python development, including experience with REST APIs.
• Experience with SQL databases; knowledge of NoSQL and vector databases is an advantage.
• Experience with Azure or similar cloud platforms, including Docker and Kubernetes.
• Experience with Git, CI/CD, testing and agile development methods.
• Experience with modern data platforms, preferably Databricks, as well as with the development of AI applications using LLMs, agents, RAG and workflow orchestration frameworks.
• Strong analytical skills, problem-solving competence and communication skills, as well as experience in large, complex corporate organizations; fluent English skills.
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