Working Student (m/f/d): Software/data Engineer

Home Office, DE, Germany

Job Description

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 @finches.ai 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

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Job Detail

  • Job Id
    JD3707886
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Home Office, DE, Germany
  • Education
    Not mentioned