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.
Your responsibilities:
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.
What we are looking for:
Master’s degree in computer science, engineering, or a related field
Proven experience (7+ years) as a Big Data Solution Architect or similar roles, preferably within a large enterprise environment
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
Experience with data warehousing, ETL processes, and data modeling techniques
Familiarity with industrial or manufacturing data landscapes
Strong proficiency in SQL and at least one scripting language (e.g., Python, Scala)
Experience with agile methodologies and DevOps practices
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
Experience in managing and mentoring technical teams
Very good knowledge of English, German is a nice to have.
Does this sound interesting?
We look forward to receiving your online application! Your contact person is Anne-Christin Fritzsche.