Job
- Level
- Lead
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du die KION Analytics Platform, definierst Architekturstandards und leitest die Umsetzung von KI-Anwendungsfällen, während du ein globales Team von Data Engineers führst.
Job Technologien
Deine Rolle im Team
- Overall responsibility for the KION Analytics Platform (KAP), including strategic roadmap and budget planning.
- Define target architecture, design principles and technology standards for analytics and semantic layers.
- Ensure a scalable, secure and cost-efficient platform design using partners/technologies such as Databricks, Dremio, Power BI and cloud services.
- Lead delivery of analytics use cases from requirements gathering and data provisioning to implementation support and operations.
- Responsible for stable platform operation, performance monitoring and adherence to Service Level Agreements.
- Promote continuous improvements of development, deployment and monitoring processes (DevOps / DataOps).
- Implement and support global KION AI use cases in collaboration with business stakeholders.
- Lead, coach and support the professional development of the global team of Data Engineers.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in computer science, engineering, or a related field
Qualifikationen
- Deep understanding of Big Data concepts, architectures, and technologies, with a strong focus on the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Dremio, Power BI, Azure Data Factory, etc.)
- Knowledge about other cloud platforms (AWS, GCP), data governance, and security best practices
- Familiarity with industrial or manufacturing data landscapes
- Strong proficiency in SQL and at least one scripting language (e.g., Python, Scala)
- Excellent communication, interpersonal, and presentation skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
- Strong problem-solving skills and a proactive approach to identifying and resolving challenges
- Very good knowledge of English, German is a nice to have.
Erfahrung
- Proven experience (7+ years) as a Big Data Solution Architect or similar roles, preferably within a large enterprise environment
- Experience with data warehousing, ETL processes, and data modeling techniques
- Experience with agile methodologies and DevOps practices
- Experience in managing and mentoring technical teams
Unser Angebot
- A company with a bright future: As a listed M-Dax company, we already employ more than 42,000 people in over 100 countries and are thus significantly driving the future of intralogistics while pursuing a clear sustainability strategy.
- Moving forward together: Standardized and documented feedback process with international career opportunities and individual training opportunities.
- Individual benefits: Modern IT equipment (also for the home office) & mobile devices, Employee Assistance Program - holistic support program for individual crisis situations, "Deutschlandticket" or parking space, option to lease a company bike, exclusive benefits/discounts for employees.
- Our basics: flexible working hours, part-time models, option for flexible mobile working from home, attractive remuneration package, company pension scheme, canteen.
Benefits
Work-Life-Integration
Mehr Netto
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Kion Group GmbH
Die KION Group ist weltweit präsent mit ihren sechs Marken, die Produkte, Dienstleistungen und Lösungen anbieten. In Europa ist sie für Gabelstapler und Lagertechnik Marktführer, global die Nummer zwei und in China führender ausländischer Anbieter. Die Marken Linde und STILL bedienen das globale Premium-und Baoli das Value- und Economy-Segment.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion, Logistik, Transport
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)3.6
Culture
3.5Engineering
3.2Workingconditions
4.6Career Growth
3.2
Team Lead & Architect Analytics Platform
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
