Working student

• Location: Remote
• Start: As soon as possible
• Working hours: 20 hrs/week
• Language: Fluent English proficiency required, German optional
• Date of job publication: Oct 27, 2025

About Finches

We're Finches, an early-stage B2B SaaS startup rethinking how procurement works in food production - in a world that's anything but stable. Backed by UnternehmerTUM's Funding for Innovators and a strong group of angels, we're building a fast, focused, and user-first platform to make supply chains more resilient, transparent, and data-driven.

We're a remote-first team guided by clear principles: Humbleness, Openness, Fairness, Curiosity, Customer-Centricity, and an Impact-Driven Mindset. Finches was founded in April 2025 by AI expert Dr. Stefanie Glenn and serial entrepreneur & farmer Catharina van Delden - combining deep tech and deep soil knowledge to bring real change to the global food system.

The Role

We're looking for a sharp, curious, and hands-on Working Student to join the Finches Tech Team. If you want to be right in the engine room of an early-stage startup, this is your shot. You won't be fetching coffee - you'll be building the plane while it's flying.

As a hybrid Software/Data Engineer (Working Student), you'll work directly with the Tech Team on what matters most for product development - day by day, priority by priority. Your role is dynamic and high-impact. Expect to:

• Build data connections between external services and our data and AI platform
• Design, develop, and deploy scalable data pipelines
• Help keep our technical tools and workflows organised and well documented
• Actively contribute to the development of our engineering culture and best practices in the team

This is a front-row seat to the 0 to 1 journey - and a chance to directly shape how a startup is built.

What You Bring

You don't need a stacked CV - but you do need brains, drive, and a "figure it out" mindset. We're looking for someone who:

• Is currently enrolled in a Master's program (IT, tech, data science or data engineering - we care more about mindset than your major) and have completed your Bachelors at a German university
• Is genuinely excited about startups, B2B SaaS, and building from scratch
• Thinks clearly, works fast, and gets things done without hand-holding
• Has experience implementing data quality checks, validation rules, and reconciliation processes within ETL pipelines to ensure data accuracy and reliability
• Understands Python for data manipulation
• Has a foundational understanding of data integration principles, connecting data from various sources (APIs, databases) and web data extraction.
• Can demonstrate a basic understanding of data models and how to connect datasets from different formats (e.g., JSON, CSV, SQL tables).
• Knows how to work with Git
• Has a proven ability to problem-solve & debug
• Likes to write clean, efficient, and well-documented code
• Has excellent communication skills (English mandatory)
• Is aligned with our core principles of humbleness, openness, fairness, curiosity, customer-centricity, and an impact-driven mindset

Bonus Points

You might have a background or interest in:

• Palantir's AIP platform and data ontology as a core concept
• React Native framework (this includes understanding components, state management - e.g.,
• Redux, Context API - hooks, and routing)
• API design and development
• Data pipeline tools and ETL processes
• Real responsibility from day one - not a coffee-fetching internship
• Direct mentorship from the founders and a phenomenal tech team
• The chance to shape Finches while we're still early
• A flexible, no-BS work culture built on trust and impact
• Tools, challenges, and growth that actually level you up

How to Apply

Shoot us a quick email at joinus with:

• Your CV or LinkedIn
• A few lines on why you're interested
• Any links to projects or things you're proud of (optional)

Gehalt: 16,00€ pro Stunde

Leistungen:

• Flexible Arbeitszeiten
• Homeoffice-Möglichkeit

Ausbildung:

• Bachelor (Wünschenswert)

Sprache:

• Englisch (Erforderlich)

Arbeitsort: Homeoffice