AI – Data Engineer

We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.

Requirements

• 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting, professional services, or client-facing project work
• Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL
• Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management
• Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization
• Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing

Benefits

• Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
• The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
• AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side – conducting workshops and identifying AI possibilities for our mid-to-large size clients.