20 beste Stellen als data engineer in hanau, he – aktuell auf Personalsuche

AI Innovation Engineer, Google Cloud
Google —Frankfurt am Main
- 150.000 € – 154.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
1 Tag
Rust Engineer - Trading Systems
Keyrock —Frankfurt am Main
- Vollzeit
- Homeoffice
- AWS
- Scripting
- APIs
- Flexible Arbeitszeiten
9 Tage
Palantir Foundry Engineer (Frankfurt or Munich, Germany)
Unit8 SA —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Mit Reiseanteil
- Künstliche Intelligenz
- Python
Direkt bewerben
Senior AI / ML Engineer (w/m/d)
Cofinpro —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- AWS
- Weiterbildungsprogramme
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Senior Software Engineer - Data & AI (all genders)
CMBlu Energy AG —Alzenau in Unterfranken
- Azure
- Englisch
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Principal Engineer for IT Automation & AI transformation (Remote)
SoSafe —Frankfurt am Main
- Vollzeit
- Homeoffice
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Systems Engineer Linux (f/m/d)
Drooms GmbH —Frankfurt am Main
- Vollzeit
- DevOps
- Englisch
- Erfahrung mit Netzwerken
- Mitgliedschaft im Fitnessstudio
- Flexible Arbeitszeiten
Backend / DevOps Engineer (f/x/m)
spotixx GmbH —Frankfurt am Main
- Hybrides Arbeiten
- SQL
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- Python
Direkt bewerben
(Senior) AI-Native Software Engineer / Architect Node.js/TypeScript (m/w/d)
Institutional Investment Group GmbH —Frankfurt am Main
- Vollzeit
- JavaScript
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
Senior Full-Stack Engineer – AI-Driven Development (m/w/d)
ANWR GROUP eG —Mainhausen
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Datenbanken
- AWS
- Weiterbildungsprogramme
7 Tage
AI Application Engineer (m/w/d)
Operations1 —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Englisch
- APIs
- Flexible Arbeitszeiten
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Lead AI Engineer (m/w/d)
Merz Pharma GmbH Co. KGaA —Frankfurt am Main
- Vollzeit
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- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
(Senior) AI-Native Software Engineer / Architect Node.js/TypeScript (m/w/d)
Institutional Investment Partners GmbH —Frankfurt am Main
- Ab 50.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- JavaScript
- Künstliche Intelligenz
- Python
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI Engineer - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- DevOps
- Datenbanken
Direkt bewerben
Cloud Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
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- Englisch
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(Senior) AI Engineer (m/w/d)
cbs Corporate Business Solutions GmbH —Frankfurt am Main
- Vollzeit
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- Englisch
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9 Tage
Senior Backend / Platform Engineer (f/x/m)
spotixx GmbH —Frankfurt am Main
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- Python
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SENIOR SOFTWARE ENGINEER (f/m/d)
360 Treasury Systems —Frankfurt am Main
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Software Developer Full Stack (m/f/d)
PRIOjet GmbH —Frankfurt am Main
- Azure
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Power Platform/Copilot (Senior) Technical Consultant (m/w/d)
NTT DATA —Bad Homburg vor der Höhe
- Vollzeit
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- Englisch
- Mit Reiseanteil
- APIs

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AI Innovation Engineer, Google Cloud

Google -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Vollzeit
150.000 € – 154.000 € pro Jahr
vor 1 Tag

Qualifikationen

CI/CD
Datenmodellierung
Go
Informatik
DevOps
NoSQL
Java
Datenbanken
Bachelor
Machine Learning
Terraform
Deep learning
Künstliche Intelligenz
Erfahrung im Bankwesen
Python
Design Patterns

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK.

Minimum qualifications:

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design.
Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring).
Experience using Generative AI and agentic orchestration utilizing frameworks (e.g., LangChain, CrewAI, or Vertex AI Agent Builder) and vector databases.

Preferred qualifications:

Experience in financial services, and with the regulatory and operational clearing, settlement, or custody.
Experience with FSI regulatory practices and data residency, encryption at rest/transit (CMEK), and "explainable AI" requirements in banking.
Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured product requirement document (PRD) and a working technical demo.
Experience working in a high-maturity DevOps culture (e.g., trunk-based development, automated testing, blue/green deployments).

About the job

In this role, you will accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €150000 - €154000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Design and build autonomous agentic workflows utilizing machine learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow.
Partner with client leads(business user) to identify high-impact AI use cases. Translate these into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics.
Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real-time streaming architectures.
Ensure all prototypes are built with a "production-first" mindset. Implement basic CI/CD pipelines and utilize infrastructure-as-code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure.
Create clear technical guides to ensure a seamless hand-off from POC to engineering teams.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in hanau, he

AI Innovation Engineer, Google Cloud

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Senior AI / ML Engineer (w/m/d)

Senior Software Engineer - Data & AI (all genders)

Principal Engineer for IT Automation & AI transformation (Remote)

Systems Engineer Linux (f/m/d)

Backend / DevOps Engineer (f/x/m)

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Software Developer Full Stack (m/f/d)

Power Platform/Copilot (Senior) Technical Consultant (m/w/d)

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