platform engineer for financial decision intelligence

dataBob AG is a Swiss technology company specializing in Business Intelligence, Data Platforms and AI-driven Decision Intelligence. Its dataBobIQ platform combines analytics, reporting, forecasting and artificial intelligence into an integrated decision platform for modern finance teams.

• Design and build the data backend architecture of dataBobIQ;
• Build AI-powered workflows using modern LLMs;
• Implement RAG and agent-based architectures;
• Design canonical financial data models;
• Build forecasting and recommendation services;
• Optimize SQL models for financial analytics;
• Work with Microsoft Fabric, SQL databases, dbt, cube and other cloud services;
• Integrate AI capabilities into a production SaaS platform;
• Collaborate with frontend developers to deliver outstanding user experiences;
• Continuously improve architecture, performance and scalability;
• Influence product architecture, AI strategy, technology stack, engineering culture and product roadmap.

• Excellent Python skills;
• Strong SQL knowledge;
• Experience building backend applications;
• Experience with Git and modern software development practices;
• Solid understanding of data modelling;
• Experience working with cloud platforms, preferably Azure;
• Hands-on experience with LLM orchestration, tool calling, Retrieval-Augmented Generation (RAG), embeddings and vector databases, structured outputs, and AI agent frameworks;
• Understanding of Profit & Loss, Balance Sheet, Cash Flow, Forecasting, Budgeting and Financial KPIs is a significant advantage;
• Nice to have: Microsoft Fabric, Power BI Semantic Models, Databricks, Docker, CI/CD, LangGraph, PydanticAI, OpenAI Agents SDK, MLflow, DuckDB, Delta Lake, DBT, Cube, finance knowledge.

• Key role in shaping a new AI platform from the ground up;
• Freedom to influence product architecture, AI strategy, technology stack, engineering culture and product roadmap;
• Direct impact on how CFOs and management teams make business decisions.