Degree in computer science, data engineering, analytics, or comparable technical qualification

>5 years of experience with Salesforce (Sales/Service Cloud) as a developer and architect, solid understanding of complex data models and system architectures, and ideally Salesforce certifications (e.g., System Administrator, AI Specialist)

Strong experience with data platforms, particularly Azure Databricks. Well proficient in the uses of Azure DevOps (or similar tools such as Jira) as part of SDLC.

Solid understanding of data integration, authentication, and embedding scenarios, ideally via an event-driven architecture (e.g., Kafka as the event bus).

Experience with data classification, using AI models (e.g., OpenAI LLMs for summarization), and generating data-driven insights. Azure OpenAI (e.g., GPT models), Prompt Flow, integration of Azure OpenAI into Databricks. GenAI patterns: RAG, vector databases, LLM agents (including interfaces such as MCP/A2A), prompt engineering and evaluation.

Very strong Python skills; frameworks such as PyTorch/TensorFlow/sklearn

Strong experience in Power BI architecture, advanced features and deep technical knowledge of Power BI Service, semantic models, datasets, and security (RLS, AAD)

Embedding expertise web development skills are important to use APIs and create modern, user-friendly interfaces. This also includes using frameworks and libraries provided by the DevHub platform, as well as automation and CI/CD pipelines for rapid development and deployment

Experience working in agile environments and with tools such as Azure DevOps and Confluence

Analytical skills and enjoyment of teamwork, combined with a structured and solution-oriented working style

Enthusiasm for diverse tasks that allow you to apply your strengths as a technical allrounder

Very good English skills, both written and spoken