We’re looking for a hands-on Data Engineer / Data Scientist to join our data team. The role is based in Israel and requires regular work from our office.

You’ll work across data engineering, applied data science, and AI, building pipelines, algorithms, and tools that support our investment teams and internal operations.

What you’ll work on

• Build and maintain data pipelines and integrations across multiple sources
• Develop Python workflows for data processing, matching, classification, and automation
• Work with structured and unstructured data and build LLM-powered pipelines and tools.
• Partner with investment and operations teams to turn business needs into practical data solutions

Our stack: Python, SQL, Snowflake, PostgreSQL, dbt, Azure, Azure Functions, n8n, GitHub, and LLM/AI frameworks.

What we’re looking for

• 2-4 years of experience in data engineering, data science, or a similar hands-on role
• Strong Python and SQL skills - both are a must
• Experience building production data pipelines, working with databases, and using cloud environments
• Ability to take a problem from idea to implementation, with curiosity and a practical approach
• Experience with LLMs, AI pipelines, or applied ML is a strong advantage

If you enjoy building things and working across data engineering and applied AI, you’ll have the opportunity to make a meaningful impact in a small, hands-on team.

About us: Founded in 2003, Vintage Investment Partners is an independent global venture platform with $4.8 billion under management, investing in venture funds, secondaries, and growth-stage technology companies across the U.S., Europe, and Israel. Our investment strategies and Value+ business development platform provide a wealth of data across funds, companies, and enterprise demand - an opportunity to build tools and insights that inform real investment and business decisions.