Homeowner recommendation platform connecting property owners with service partners
Aroundhome operates Germany's recommendation marketplace for homeowners undertaking major property projects—selling, investing, maintaining, or renovating. The tech stack reveals a data-forward organization: Kafka, Spark, Airflow, and Databricks power real-time pipelines feeding Snowflake and dbt transformations, with Tableau and Metabase for analytics. Active adoption of Cursor and CodeRabbit signals a shift toward AI-assisted development. Project roadmap emphasizes partner-platform modernization, real-time data infrastructure, and AI integration—matching stated pain points around partner performance and legacy system migration.
Aroundhome serves German homeowners seeking guidance and vetted service providers for major property decisions. The platform connects property owners with a curated network of contractors, advisors, and vendors across renovation, energy efficiency, sales, and maintenance domains. Operating since 2008 with ~300 specialists, Aroundhome monetizes through partner referrals and lead generation. Current hiring is concentrated in sales and product roles, with sustained data engineering investment reflecting infrastructure modernization efforts. The company is publicly traded and headquartered in Berlin.
Kafka, Apache Spark, Airflow, Databricks, Snowflake for data pipelines and warehousing; dbt for transformations; Tableau and Metabase for analytics; Salesforce for CRM; Python and R for analytics and modeling.
Yes. Open roles span sales (8), product (4), and individual contributors in data (1) and engineering (1). Recent postings favor senior-level candidates across departments.
Partner platform modernization, real-time data pipelines, AI/ML integration, improved matching and search experiences, and legacy system migration. Current focus includes scalable infrastructure and partner-segment segmentation.
Other companies in the same industry, closest in size