20 beste Stellen als cloud (data) platform in frankfurt am main, he – aktuell auf Personalsuche

Data Center Technician
Google —Frankfurt am Main
- 70.000 € – 72.000 € pro Jahr
- Wochenendarbeit möglich
- Bachelor
- Ohne Hochschulabschluss
- Erfahrung mit Netzwerken
3 Tage
Senior Cloud (Data) Platform Engineer (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Azure Data Engineer II - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- DevOps
- SQL
Direkt bewerben
Team Lead GenAI Platform (m/f/d)
KION Information Management Services GmbH —Frankfurt am Main
- Vollzeit
- Informatik
- DevOps
- Master
- Employee Assistance Program
- Flexible Arbeitszeiten
Trainee Cloud & Data - Dein Einstieg in Cloud Consulting & Engineering im Oktober 2026 (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Online-Bewerbung
- Azure
- Englisch
- Hochschulreife
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Solutions Architect, Digital Platforms, Google Cloud
Google —Frankfurt am Main
- 148.000 € – 152.000 € pro Jahr
- Vollzeit
- Informatik
- Java
- Bachelor
Agentic AI Copilot (Studio) / Power-Platform Expert (w/m/x)
Avanade —Kronberg
- Englisch
- SharePoint
- Erfahrung in der IT
- Weiterbildungsprogramme
Platform Engineer IAM - SAP Governance, Risk & Compliance (f/m/d)
E.ON Digital Technology GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Homeoffice-Möglichkeit
Lead Azure Data Engineer - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Azure
- Präsentationserfahrung
- Künstliche Intelligenz
Direkt bewerben
Data Analytics & Management - Associate (f/m/d)
Sumitomo Mitsui Banking Corporation —Frankfurt am Main
- Hybrides Arbeiten
- SQL
- Finanzdienstleistungen
- Python
Operation and Maintenance Engineer – Cloud Operation Services (m/f/d)
Da Vinci Engineering GmbH —Frankfurt am Main
- Informatik
- DevOps
- Wartung
Solutions Architect - AI & Data Integration (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
- Informatik
- Microsoft Office
- SQL
- Kostenloser Parkplatz
- Flexible Arbeitszeiten
12 Tage
Azure Cloud Engineer
Avanade —Kronberg
- Azure
- DevOps
- Scripting
1 Tag
Associate Technical Consultant (Germany) - Entry-Level Consulting (Life Sciences)
Veeva Systems —Frankfurt am Main
- 48.000 € pro Jahr
- Vollzeit
- Azure
- Informatik
- Java
Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d)
Deloitte Consulting GmbH —Frankfurt am Main
- Online-Bewerbung
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Data Scientist (all genders)
INNOCEAN Worldwide Europe GmbH —Frankfurt am Main
- CRM-Software
- SQL
- Python
- Homeoffice-Möglichkeit
- Mitgliedschaft im Fitnessstudio
Customer Success Engineer, Data Center Learning
A100 ROW GmbH —Frankfurt am Main
- Vollzeit
- AWS
9 Tage
Team Lead & Architect Analytics Platform (m/f/d)
KION Information Management Services GmbH —Frankfurt am Main
- Vollzeit
- Azure
- Informatik
- DevOps
- Employee Assistance Program
- Flexible Arbeitszeiten
Junior Data & AI Engineer (f/m/x)
Yttrium GmbH —Frankfurt am Main
- Informatik
- SQL
- APIs
Senior Data Engineer – ML Platform
Sovendus GmbH —Innenstadt I
- Vollzeit
- Azure
- SQL
- AWS

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cloud (data) platform jobs near frankfurt am main, he

Data Center Technician

Google -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

Vollzeit
70.000 € – 72.000 € pro Jahr
vor 3 Tagen

Qualifikationen

Rechenzentrum
UNIX
Bachelor
Erfahrung mit Netzwerken
Linux
Helpdesk

Vollständige Stellenbeschreibung

Minimum qualifications:

Experience with performing component-level repairs and troubleshooting on technical equipment.
Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

Preferred qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
Experience using Unix/Linux operating systems.
Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
Experience working within a data center or network operation center environment.
Ability to collaborate and partner with teams to overcome issues, and to adapt to changes in a dynamic work environment.

About the job

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

As a Data Center Technician, you will install, configure, test, troubleshoot and maintain hardware for one of the world's largest Internet facing environments. Based and working outside of the Google data centers, you will be part of the team that connects up the Internet and helps grow the infrastructure that is directly used by your friends and family to enjoy Google's products.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

Germany: €70000 - €72000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Deploy and operate new data center infrastructure across projects or functions.
Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.

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.

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Senior Data Engineer – ML Platform

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