Software developer m/w/d

Versatile software engineer with a strong foundation in Python and Java, experienced in building scalable data-driven systems and deploying machine learning solutions. Combines backend development skills with deep knowledge of data engineering and model lifecycle management. Proven ability to deliver robust, production-ready solutions in dynamic environments.

Collaborates closely with business departments achieve the best customer benefit. Works in interdisciplinary teams on the development of new functionalities and improvements of existing features. Participates in brainstorming, specification and design sessions. Coaches, provide feedback and share knowledge with the team and other developers. Works in an highly-motivated self-organized Scrum team.

Key Competencies

• Programming Languages & Frameworks – proficient in Python and Java, with practical experience in Spring ecosystem
• Microservices Architecture – design, development, and maintenance of distributed systems using microservices
• Data Processing – expertise in batch (ETL) and real-time data pipelines for large-scale datasets
• MLOps & Integration – Docker, REST APIs, CI/CD, integration with production systems
• Code Quality & Collaboration – Git, unit testing, code reviews, agile methodologies
• Very good English skills are mandatory

Strengths

• Strong analytical thinking and problem-solving skills
• Experience in both research and commercial projects
• Independence and proactive approach to process automation and optimization
• Ability to communicate results in a way that is understandable to business stakeholders

Complementary Skills

• AI-Augmented Productivity – actively uses AI tools to enhance personal efficiency and streamline development workflows
• Work Organization – effective prioritization and time management, consistently delivers tasks on schedule
• Proactive Mindset – initiates improvements and contributes ideas beyond assigned responsibilities

Task Structuring – breaks down complex problems into manageable, verifiable components

Growth-Oriented Approach – embraces unfamiliar technologies and continuously expands technical expertise

Continuous Learning – committed to self-improvement and staying current with industry trends

Team Collaboration – open, constructive communication and active contribution to team success