We're looking for an engineer who is excited about leveraging data to transform venture capital. As part of our team, you'll play a key role in building data-driven systems that revolutionize how we identify and evaluate startups to drive smarter investment decisions. Location-wise, you are based in Munich or Berlin.

Enjoy the flexibility of a hybrid work model, the opportunity to work from different offices across Germany, and regular team offsites within Europe—plus exciting company-wide events to connect and collaborate.

Founded in 1997, Earlybird identifies and backs exceptional early-stage companies on a pan-European basis – supporting them through their growth and development phases and providing financial resources, strategic support, plus access to an international network and capital markets. Through two separate strategies, Earlybird focuses on tech-enabled businesses in fintech/ insurtech, enterprise software, and deep tech (energy, food, and space) while Earlybird Health focuses on improving patient outcomes. Earlybird additionally has a Growth Opportunity Fund for follow-on investments, and a pro-bono impact initiative, Vision Lab. With EUR 2.5 billion under management across fund streams and a history of 9 IPOs and 33 trade sales, Earlybird is among Europe’s most established and active venture capital firms.

More information on www.earlybird.com, LinkedIn, and X.

• Extending system for startup & people scoring. Enhancing our startup scoring system, to allow for more sophisticated ways of recommending startups
• Enhancing architecture for crawling. Improving the maintainability & scalability of our architecture for crawling
• Improving system for entity-resolution. Increasing the accuracy & scalability of our entity-resolution system

Our core stack includes Python, Apache Airflow and PostgreSQL. We work in Google Cloud Platform, making use of services like Cloud Composer, Cloud SQL, Cloud Storage, and Cloud Functions.

• Your have a user-centric mindset to solving engineering problems
• You have 3-5 years of experience working in a data- or backend oriented software engineering position
• You are proficient in SQL
• You are proficient in at least one programming language such as Java, C++, or Python (Experience with Python is preferred but not required)
• Work experience within a agile, startup-like environment is preferred but not required
• Relevant work authorization for the country you intend to work in

As a first step in the interview process you'll meet a member of the Engineering team to talk about your background, motivations and to ask us any questions you might have. Depending on the role, we'll then schedule a Coding Interview and a System Design Interview to evaluate your technical skills. Finally, you'll get a chance to meet the entire Engineering team and to talk to one of EarlyBird's partners as well.