Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Onsite
Job Summary
In this role, you will develop data pipelines, integrate new data sources, and closely collaborate with a Data Scientist to create AI-driven solutions for investment teams and promote the application of AI within the firm.
Job Technologies
Your role in the team
- You will join a two-person data and AI team as the second hire, working directly with our in-house data scientist who leads the data and AI workstream and has built the current version of Scale.
- Beyond the core team, you will work closely with a Manager, a Principal, and two Partners from the investment team, who are actively involved in shaping priorities, reviewing work, and using what we build day-to-day.
- Am ersten Tag wirst du in eine echte Produktionsplattform mit etablierten Konventionen, agenturorientierten Workflows und zwei Full-Stack-Webanwendungen eingegliedert.
- Your job is to help extend it: new data sources, new agents, new features and everything in between.
- This is an unusually broad role for a junior hire.
- You will work across the full stack, ship production code used by investment professionals within your first weeks, and learn from and ship alongside the data scientist who has been building the platform.
- The role is not purely technical.
- A meaningful part of the job is helping the rest of the firm get more out of data and AI, by rolling out tools, acting as a sparring partner for the investment team on technical due diligences and exchanging learnings with portfolio companies on AI and data topics.
- Build and maintain data pipelines ingesting internal and external sources into our data warehouse and make the data accessible to the team and AI agents.
- Extend our internal MCP servers and Langdock-based agentic workflows to support deal sourcing, screening, due diligence and portfolio monitoring.
- Contribute to our web applications across backend and frontend.
- Work closely with investment professionals to translate business questions into data products and ship MVPs in short build cycles, iterating with our data scientist and the broader team.
- Champion the adoption of AI tooling across the firm, for example Claude and its Cowork mode, Langdock (our AI workspace) and other best-in-class tools, through hands-on onboarding, internal playbooks and ongoing support for colleagues.
- Act as a technical sparring partner for the investment team on due diligences in AI, data infrastructure and adjacent sectors, helping to stress-test theses, technical claims and product architectures.
- Exchange learnings on AI and data topics with portfolio companies through informal exchanges and round tables.
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Our expectations of you
Education
- Completed academic degree in Computer Science, Data Science, Engineering, Mathematics or a related quantitative field, or in Economics or a similar field if combined with significant coding exposure (side projects, thesis, research, open-source work); strong academic track record.
Qualifications
- First exposure to finance, either through internships, working-student positions or deep personal interest in consulting, investment banking, private equity, venture capital or growth equity.
- Agentic coding: power-user of Cursor, Claude Code, Codex or similar, with opinions on how to use them well in a real codebase.
- Fluent in English and German; comfortable communicating directly with investment professionals and portfolio companies in both languages.
- Self-starter mindset: able to drive projects forward independently once the objective is clear, while asking for context and feedback when needed.
Experience
- First hands-on experience with data engineering: Python, SQL and Git, gained through internships, working-student roles, a thesis or substantial personal projects.
- Practical experience building with LLMs and agents: you have used model APIs (OpenAI, Anthropic or similar) and built at least one non-trivial agentic workflow.
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What we offer
- A rare opportunity to help build the data and AI function of a leading European growth equity firm from an early stage, with direct visibility to partners and the investment team.
- Ownership over meaningful parts of the stack, across pipelines, agents, backends and frontends, in a codebase small enough to fully understand and shape.
- A modern engineering environment with AI-assisted development as a first-class part of the workflow.
- Frankfurt-based role with a collaborative, entrepreneurial team culture and close daily collaboration with the investment team.
- Strong personal development trajectory and the opportunity to build a professional network across the European PE/VC and B2B technology ecosystem through regular exposure to investors, founders and portfolio companies.
- Competitive compensation and development through courses, conferences and certifications.
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Topics that you deal with on the job
Job Locations
This is your employer
Yttrium GmbH
Yttrium GmbH, based in Frankfurt am Main and Munich, is a growth equity firm specializing in B2B technology companies. It supports management teams of high-growth firms in scaling to become global digital leaders. With a team of over 20 investment professionals and advisory partners, data and AI play a crucial role in their investment processes.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Banking, Finance, Insurance
Junior Data & AI Engineer
- Location
- Frankfurt
- Working Model
- Onsite
- Diversity
- Open for all genders
