20 beste Stellen als customer engineer, digital natives in frankfurt am main, he – aktuell auf Personalsuche

Junior Data & AI Engineer (f/m/x)
Yttrium GmbH —Frankfurt am Main
- Informatik
Customer Engineer, Digital Natives
Google —Frankfurt am Main
- 92.000 € – 94.000 € pro Jahr
- Vollzeit
- Bachelor
- Ohne Hochschulabschluss
3 Tage
AI Engineer - Automation & Data Integration
Logicalis —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Master
- APIs
- Homeoffice-Möglichkeit
- Employee Assistance Program
Logistics Specialist Trainee, Data Center Communities
A100 ROW GmbH —Frankfurt am Main
- Überstunden
- Doktorat
- Master
- Hochschulreife
- Flexible Arbeitszeiten
Modem Field Test Engineer, LTE/UMTS/GSM - Contract
COMNESYS —Frankfurt am Main
- Teilzeit
IT Support Specialist, Data Center Operations
A100 ROW GmbH —Frankfurt am Main
- Wochenendarbeit möglich
- Bachelor
- Kostenbeteiligung am Arbeitsweg
- Employee Assistance Program
Specialist/Engineer AI/"Intent-Based Netorking" (m/w/d)
racksnet GmbH —Bad Soden am Taunus
- Informatik
IT Specialist (Data Center Technician), Data Center Operations, DCC Communities
A100 ROW GmbH —Frankfurt am Main
- Wochenendarbeit möglich
- Hochschulreife
- Kostenbeteiligung am Arbeitsweg
- Employee Assistance Program
Technical Support Engineer - Wi-Fi & Switching
Fortinet —Frankfurt am Main
- Vollzeit
Digital Product Manager (m/w/d)
dfv Mediengruppe —Frankfurt am Main
- Vollzeit
- Projektmanagement
- Analytik
- Homeoffice-Möglichkeit
Direkt bewerben
Network Automation & SDN Engineer
Logicalis —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Englisch
- Scripting
- Homeoffice-Möglichkeit
- Employee Assistance Program
Data Center Delivery/Operation Engineer
EZSVS (Germany) Gmbh —Frankfurt am Main
- Vollzeit
Direkt bewerben
2 Tage
Staff Engineer for IT Automation & AI transformation (Remote)
SoSafe —Frankfurt am Main
- Vollzeit
- Homeoffice
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Data Analytics & Management - Associate (f/m/d)
Sumitomo Mitsui Banking Corporation —Frankfurt am Main
- Hybrides Arbeiten
Customer Engineer, Google Cloud Platform, Telco, Energy (German)
Google —Frankfurt am Main
- 112.000 € – 114.000 € pro Jahr
- Vollzeit
- Bachelor
- Ohne Hochschulabschluss
Cloud Engineer
ADACOR Hosting GmbH —Offenbach
- Teilzeit
- Azure
- Informatik
- DevOps
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Field Support Engineer - Protein Crystallography & Liquid Handling
Formulatrix, Inc. —Frankfurt am Main
- Ab 60.000 € pro Jahr
- Vollzeit
- Bachelor
- Mit Reiseanteil
Direkt bewerben
Software Engineer (m/f/d)
Yatta Solutions GmbH —Frankfurt am Main
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Customer Success Specialist - meviy
MISUMI —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Salesforce
- Unternehmensentwicklung
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
7 Tage
Senior Consultant Legal Engineer Customer Data (w/m/d)
Capgemini Sogeti —Frankfurt am Main
- Online-Bewerbung

Ich möchte aktuelle Job-E-Mails für Stellen als customer engineer, digital natives in frankfurt am main, he erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

customer engineer, digital natives jobs near frankfurt am main, he

Jobs als Data Engineer in Frankfurt Am Main

Jobs als Senior Consultant in Frankfurt Am Main

Jobs als IT Support Specialist in Frankfurt Am Main

Jobs als Technical Support Engineer in Frankfurt Am Main

Jobs als Field Engineer in Frankfurt Am Main

Jobs als Staff Engineer in Frankfurt Am Main

Jobs als Logistics Specialist in Frankfurt Am Main

Jobs als Data Center Technician in Frankfurt Am Main

Jobs als Data Center Engineer in Frankfurt Am Main

Jobs als Produktmanager in Frankfurt Am Main

Jobs als Data Engineer in Dresden

Jobs als Data Engineer in Home Office

Jobs als Minijob, Remote, Data Science in Home Office

Jobs als Data Science in Bochum

Jobs als Data Engineer in Mannheim

Jobs als Data Engineer in Düsseldorf

Jobs als Mitarbeiter Kundenservice in Dresden

Jobs als Mitarbeiter Verwaltung in Essen

Jobs als Mitarbeiter Kundenservice in Magdeburg

Jobs als Mitarbeiter Kundenservice in Bremen

Junior Data & AI Engineer (f/m/x)

Yttrium GmbH
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Qualifikationen

Informatik
GitHub

Vollständige Stellenbeschreibung

Introduction

Yttrium is a growth equity firm specialized in B2B technology. We partner with management teams of high-growth businesses and help them scale into global digital leaders. We currently manage over EUR 750m across more than 20 portfolio companies, supported by a team of 20+ investment professionals and Advisory Partners based in Frankfurt, Munich and London.

Data and AI are central to how we source, diligence and monitor investments. Over the past two years we have built “Scale”, our in-house data and AI platform: a data warehouse with ingestion pipelines, a suite of agentic workflows and MCP servers, and two full-stack applications used day-to-day by the investment team. The foundation is live and in production; the roadmap ahead is substantial. We are now looking for a Junior Data & AI Engineer to join our Frankfurt office and help take the platform to the next stage.

The role

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. The team is based in Frankfurt.

On day one you will be plugged into a real, production platform with established conventions, agentic workflows and two full-stack web applications. 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.

What you will do

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

Our stack

Data platform: Python, Dagster, dbt, BigQuery and integrations with internal business apps, external web data and AI agent infrastructure
Applications: One internal and one external-facing app with FastAPI backends and TypeScript/React frontends deployed via Cloud Run
Workflow: AI-assisted and PR-based development, CI/CD via GitHub Actions and Cloud Build

What we are looking for

We are not looking for someone who already knows every tool in the stack. We are looking for someone who is motivated to learn fast, take ownership and build at the intersection of data, AI and investment.

Required

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
First hands-on experience with data engineering: Python, SQL and Git, gained through internships, working-student roles, a thesis or substantial personal projects
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
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
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

Nice to have

Some experience with Docker and TypeScript/React frontend development
First touch points with a cloud native stack, ideally Google Cloud Platform
Previous work experience in start-ups, scale-ups or technology-focused investment teams
Exposure to the PE/VC workflow: sourcing, due diligence, portfolio monitoring and reporting

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

How to apply

Please send your CV, university transcripts, a short note on what you have built recently (links to repos, demos or write-ups welcome) and your earliest start date to [email protected]. We review applications on a rolling basis.

Jetzt bewerben

Erweiterte Suche

customer engineer, digital natives Jobs in frankfurt am main, he

Junior Data & AI Engineer (f/m/x)

Customer Engineer, Digital Natives

AI Engineer - Automation & Data Integration

Logistics Specialist Trainee, Data Center Communities

Modem Field Test Engineer, LTE/UMTS/GSM - Contract

IT Support Specialist, Data Center Operations

Specialist/Engineer AI/"Intent-Based Netorking" (m/w/d)

IT Specialist (Data Center Technician), Data Center Operations, DCC Communities

Technical Support Engineer - Wi-Fi & Switching

Digital Product Manager (m/w/d)

Network Automation & SDN Engineer

Data Center Delivery/Operation Engineer

Staff Engineer for IT Automation & AI transformation (Remote)

Data Analytics & Management - Associate (f/m/d)

Customer Engineer, Google Cloud Platform, Telco, Energy (German)

Cloud Engineer

Field Support Engineer - Protein Crystallography & Liquid Handling

Software Engineer (m/f/d)

Customer Success Specialist - meviy

Senior Consultant Legal Engineer Customer Data (w/m/d)