YOUR PROFILE

• Bachelor’s or Master’s in Computer Science, Data Analytics, Software Engineering, or related field
• Strong experience in software engineering, focusing on AI/analytics integration
• Proficiency in Python, Java, or similar languages for API integration and data processing
• Experience with ETL processes and tools
• Familiarity with BI tools (Power BI, Tableau, Looker) and data libraries (Pandas, NumPy)
• Knowledge of AI tools (OpenAI, Google Cloud AI, Azure AI)
• Experience with cloud platforms (Azure, AWS, GCP) for AI deployment
• Proficiency in SQL and NoSQL databases
• Strong problem-solving skills and proactive mindset
• Effective communication with technical and non-technical stakeholders
• Detail-oriented with strong organizational skills
• Fluent in English; German proficiency is a plus
  For this role, we are looking for someone based near our offices in Freiburg or Frankfurt.

ABOUT US

Jedox is a leading software solution that enables business planning, budgeting, and forecasting for finance, sales, and other business functions with leading-edge technology to drive Digital Transformation and provide tangible customer value. Constant innovation has made us a leader in the Enterprise Performance Management (EPM) sector.

We are seeking for a Software Engineer specializing in AI and Data Analytics Integration, who will bridge the gap between AI technologies and business systems. Your primary focus will be to design, deploy, and maintain systems that leverage AI and advanced analytics to enhance existing workflows and infrastructure. You will work closely with cross-functional teams to identify opportunities, integrate AI solutions, and optimize system performance using data-driven insights.

• Collaborate with stakeholders to identify AI and analytics opportunities in existing systems
• Integrate AI models, APIs, and analytics tools into enterprise systems
• Implement and manage data processing pipelines
• Enhance system performance with data-driven recommendations
• Optimize data pipelines and workflows for real-time analytics
• Work with data scientists, product teams, and IT departments
• Provide training and support for users of AI-enabled systems
• Develop dashboards and automated insights to support decision-making
• Monitor the performance and reliability of integrated AI systems