20 beste Stellen als data engineer in kelkheim (taunus), he – aktuell auf Personalsuche

Junior Applied AI Engineer (all genders)
Accenture —Kronberg
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Data & Analytics Engineer (m/w/d)
InterRisk —Wiesbaden
- Vollzeit
- Datenanalyse
- Datenbanken
- SQL
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Data Scientist / AI-Engineer – Robotic Training
Symbiosika —Frankfurt am Main
- Vollzeit
- Datenanalyse
- Englisch
- Mit Reiseanteil
Direkt bewerben
3 Std.
(Senior) Cloud Data Engineer (w/m/d)
Sogeti —Frankfurt am Main
- Online-Bewerbung
- Azure
- Englisch
- AWS
- Weiterbildungsprogramme
Knowledge Engineering Consultant (all genders)
Accenture —Kronberg
- Vollzeit
- Hybrides Arbeiten
- Master
- Bachelor
- Employee Assistance Program
Cyber Systems Engineering, Lead Associate
Peraton —Wiesbaden
- 104.000 € – 166.000 € pro Jahr
- Überstunden
- Bachelor
- Wirtschaft
- Employee Assistance Program
Senior Data Engineer – ML Platform
Sovendus GmbH —Innenstadt I
- Vollzeit
Senior Cloud Data Platform Engineer (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Teilzeit
- Azure
- Java
- Hochschulreife
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Operation and Maintenance Engineer – Cloud Operation Services (m/f/d)
Da Vinci Engineering GmbH —Frankfurt am Main
- Informatik
- Master
- Bachelor
Senior AI Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Master
- Teamleitung
- Weiterbildungsprogramme
Direkt bewerben
Data Scientist (m/w/d)
Union Asset Management Holding AG —Frankfurt am Main
- Teilzeit
- Hybrides Arbeiten
- Azure
- Datenanalyse
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
13 Tage
Modem Field Test Engineer, LTE/UMTS/GSM - Contract
COMNESYS —Frankfurt am Main
- Teilzeit
AI Investment Engineer (f/m/d)
Allianz —Frankfurt am Main
- Vollzeit
- Flexible Arbeitszeiten
Experienced Project Engineer Genetics German Speaker
Clinisys —Walluf
- 69.305 € – 103.958 € pro Jahr
- Homeoffice
- Präsentationserfahrung
- Bachelor
- Ohne Hochschulabschluss
(Junior) Machine Learning Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Datenanalyse
- Master
- Bachelor
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Direkt bewerben
Senior Software Engineer (f/m/d)
Traxpay —Frankfurt am Main
- Informatik
- Master
- Flexible Arbeitszeiten
Data Engineering Lead, Agentic Infrastructure
vivenu GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
6 Tage
Software Engineer
udicom AG —Mainz
- Informatik
- Master
Data Engineering Leader
Cognite - AI for Industry —Frankfurt am Main
- Master
- Führungserfahrung
Direkt bewerben
Senior Professional DevSecOps Engineer (m/w/d)
R+V Allgemeine Versicherung AG —Wiesbaden
- 14 € pro Monat
- Vollzeit
- Hybrides Arbeiten
- Informatik
- APIs
- Python
- Gleitzeit
- Homeoffice-Möglichkeit
Direkt bewerben

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data engineer jobs near kelkheim (taunus), he

Junior Applied AI Engineer (all genders)

Accenture -
Kronberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Informatik
NoSQL
Master
Bachelor
Computertechnik

Vollständige Stellenbeschreibung

We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.

You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth.

We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key Responsibilities

Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality;
Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers;
Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks;
Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not;
Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders;
Own delivery end-to-end — from design through to production support — in Agile sprint cycles alongside client engineering teams
Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team
Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends — understanding data flows, context handoffs, and integration points between your code and AI pipelines.

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field;
Exposure to commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects);
Proficiency in at least one primary backend language: Python, Java, or TypeScript;
Demonstrated hands-on experience using AI tools actively in day-to-day engineering work — with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs;
Basic understanding of web technologies including JavaScript, HTML, and CSS;
Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines;
Understanding of Agile delivery fundamentals;
Experience with databases — SQL or NoSQL;
Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use;
Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required.

What We Offer

Access to structured AI certifications, continuous learning opportunities, and more than 30,000 training resources to accelerate your career development;
The opportunity to work with leading AI technologies and gain exposure to teams across Anthropic, OpenAI, Microsoft, and Google ecosystems;
Flexible working models, including hybrid working options that support work-life balance;
Mentoring, coaching, and clear career pathways toward advanced AI and Forward Deployed Engineering roles;
Exciting projects across industries, technologies, and enterprise environments, providing exceptional breadth of experience.

#LI-EU

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Erweiterte Suche

data engineer Jobs in kelkheim (taunus), he

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Senior Professional DevSecOps Engineer (m/w/d)

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in kelkheim (taunus), he erhalten

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