Data and AI consulting with end-to-end project delivery across German enterprise market
Alexander Thamm is a Munich-based data and AI consulting firm executing large-scale transformation projects for DAX corporations and mid-market enterprises across German-speaking regions. The stack reveals a multi-cloud, polyglot engineering approach (Azure, AWS, GCP, Databricks, Spark, Kafka) paired with emerging LLM adoption (OpenAI, Hugging Face, Claude, LLaMA). The hiring profile is heavily data-focused (24 of 34 active roles in data disciplines), with seniority skewed senior/principal, indicating a move toward higher-complexity AI and governance work rather than junior ramp.
Notable leadership hires: Team Lead, Head of IT
Alexander Thamm GmbH, founded in 2012, operates as a consulting partnership specializing in data strategy, AI model development, and enterprise data architecture. The firm has delivered over 2,000 data and AI projects across multiple vertical markets. Nine offices span Munich, Berlin, Cologne, Frankfurt, Stuttgart, Leipzig, Essen, Innsbruck, and Vienna, serving both large DAX-listed enterprises and mid-market firms. Core service lines include data strategy roadmaps, statistical and ML model development, ETL/ELT pipeline construction, data governance and compliance frameworks, and training through their Data Academy. The organization operates a vertically integrated model: strategy → algorithmic development → IT architecture → operational handoff.
Multi-cloud stack: Azure, AWS, GCP. Core tools: Databricks, Apache Spark, Kafka, Snowflake, PostgreSQL. LLMs: GPT, Claude, LLaMA via LangChain. Analytics: Power BI, Tableau. Currently adopting Hugging Face; migrating from Qlik to Power BI.
Big data platforms, ETL/ELT pipeline scaling, data governance and regulatory compliance, AI model operationalization, generative AI demonstrators, and Palantir Foundry data pipeline projects.
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