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REReonic

AI Data Engineering & Revenue Analytics (Green-Tech, B2B-Saas)(m/w/x)

Berlin
Full-timeOn-siteExperienced
Green Job
AI/ML

Building data warehouses and pipelines for customer, HubSpot, Aircall data to automate revenue insights in green-tech B2B SaaS. Proven experience in Seed, Series A, or Series B startup required. Small, agile team setup.

Requirements

  • Proven experience in Seed, Series A, or Series B startup
  • Ability to thrive in ambiguity
  • Knowledge of building lean, effective systems
  • At least 3 years experience in BI/Data Engineering
  • Track record of building data warehouses
  • Experience integrating SaaS tools
  • HubSpot and Aircall experience (plus)
  • Expertise in Python
  • TypeScript knowledge (bonus)
  • Deep understanding of modern BI tools
  • Deep understanding of SQL
  • Passion for AI in revenue optimization
  • Skills to implement AI
  • Proactive and structured approach
  • Ability to identify and fix data flow bottlenecks
  • Fluent English speaking skills

Tasks

  • Architect and build a scalable data warehouse.
  • Design and maintain robust data pipelines.
  • Make customer, HubSpot, and Aircall data accessible.
  • Implement AI-driven workflows and predictive models.
  • Automate insights, lead scoring, and trend forecasting.
  • Integrate diverse data sources using Python or TypeScript.
  • Collaborate with Sales, Marketing, and Success teams.
  • Transform complex datasets into BI dashboards.
  • Drive faster, smarter business decisions.

Work Experience

3 years

Education

Vocational certificationORBachelor's degreeORMaster's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

HubSpotAircallPythonTypeScriptSQLAI
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