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. 

Tasks and Qualifications:

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.