Dynamic wholesale-linked electricity tariffs for households and EVs
Rabot Energy operates a real-time pricing model for German power consumers, passing hourly wholesale electricity costs directly to customers and automating EV charging around market lows. The tech stack reveals a data-heavy engineering approach: GCP + Kubernetes for infrastructure, Airflow + Dagster for ETL, BigQuery + Looker + Metabase for analytics. Active hiring skews engineering-first (9 roles) with simultaneous scaling in sales, support, and marketing—consistent with their project roadmap of scaling ETL pipelines, optimizing partner onboarding, and building new B2B products.
Rabot Energy is a German utility company founded in 2021 that offers dynamic hourly electricity tariffs to household and EV customers, sourcing power from day-ahead and intraday wholesale markets. Customers benefit when wholesale prices drop (typically during high renewable generation) and can automate charging decisions through a mobile app. The company operates across a 51–200-person workforce and is actively building toward multi-market and B2B offerings: current projects include API integrations, white-label platform setup, and real-time batch processing infrastructure. Data platform scaling and large-scale system re-architecture appear to be internal friction points as volumes grow.
Core infrastructure: GCP, Kubernetes, Docker. Data: PostgreSQL, MongoDB, BigQuery, Airflow, Dagster. Analytics: Looker, Metabase, Power BI. Backend: Python, C#, .NET Core. Frontend: Flutter. DevOps: Terraform, Argo CD.
Active projects: scalable ETL pipelines, real-time batch processing platform, API integrations, white-label setup, mobile platform evolution, partner onboarding optimization, and new digital B2B products.
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