Data and AI consulting with in-house talent development
Kubrick Group operates a consulting business pairing deep data/AI delivery with proprietary talent training. The tech stack—Databricks, Snowflake, Starburst, Spark, plus emerging LLM tools (LangChain, LangGraph, CrewAI)—reflects a shift toward AI-augmented analytics and GenAI-native solutions. Hiring is accelerating with senior and director-level roles dominating (16 of 19), and project focus splits between platform modernization (Snowflake/Databricks migrations) and commercial scaling, signaling both delivery pressure and sales growth targets.
Notable leadership hires: Account Director
Kubrick Group is a London-based consulting firm delivering data engineering, analytics, and AI solutions to mid-market and enterprise clients. Founded in 2016, the company has trained over 3,000 specialists internally—a staffing model that differentiates it from traditional consulting and addresses the talent scarcity in data roles. The delivery stack centers on Snowflake and Databricks for modern data platforms, with expanding capability in AI (RAG, LLMs) and governance (Unity Catalog, Collibra). Clients include hyperscaler partners (Databricks, Snowflake, Collibra). Revenue challenges appear acute: pain points explicitly cite reducing balances and payment performance, and projects target commercial engine scaling and deal momentum acceleration.
Core platforms are Databricks, Snowflake, and Starburst; data layer includes Python, SQL, Apache Spark, Delta Lake, and Unity Catalog. Frontend: React, JavaScript, TypeScript. AI/ML tools: LangChain, LangGraph, CrewAI, MLflow, RAG. Adopting LangGraph and Mosaic AI.
Current projects span Snowflake and Databricks platform delivery, reusable IP development, presales solution design, and commercial scaling. Key focus areas: modernizing data platforms, optimizing Snowflake performance and cost, and solving complex Databricks deployments for enterprise clients.
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