Job
- Level
- Lead
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop the KION Analytics Platform, define architecture standards, and lead the implementation of AI use cases while managing a global team of Data Engineers.
Job Technologies
Your role in the 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.
- Leads the 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.
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Our expectations of you
Education
- Master's degree in computer science, engineering, or a related field
Qualifications
- 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.
Experience
- 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
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What we offer
- 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.
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Benefits
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
Kion Group GmbH
The KION Group is a global leader in intralogistics. With our six brands, we cover all segments of the market. We are the market leader for forklift trucks and warehouse technology in Europe, number two globally and the leading foreign supplier in China. The Linde and STILL brands serve the global premium and Baoli the value and economy segments.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Logistics, Transportation
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.6
Culture
3.5Engineering
3.2Workingconditions
4.6Career Growth
3.2
Team Lead & Architect Analytics Platform
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
