Working Student

Who we are

TK Elevator (TKE) is a global leader in vertical transportation and urban mobility. We provide engineering that keeps the world moving, from design to installation and maintenance on any brand of elevators, escalators, walkways, lifts, pas-senger boarding bridges, stairlifts, platform lifts and home elevators – any place and any time. With our digital solutions like AGILE and the IoT platform, MAX, there are no longer any limits to urban mobility. TK Elevator became independent following its separation from the thyssenkrupp group in 2020. The company achieved sales of €9.3 billion in fiscal year 2023/2024. With around 50,000 employees, 25,000 service technicians and over 1,000 support centers globally, we are moved by what moves people. TKE – Move Beyond.

Your Responsibilities

• Develop, monitor, and document data pipelines in Azure Data Factory and Databricks.
• Assist in data analysis and troubleshooting to ensure smooth data flow across the platform.
• Build Power BI reports and contribute to new data models used by the business.
• Implement and test data quality and validation rules using Databricks and Python.
• Support ad-hoc data exploration and reporting requests from stakeholders.
• Collaborate with global teams on data governance, data lineage, and metadata documentation.

If you are passionate about technology and driven to make an impact, we invite you to apply and become an integral part of our team. Your contributions will help shape the future of our business in the digital age.

We are looking for a working student who wants to be part of a dynamic, digitally addicted, multicultural team to set up a data analytics structure in a live corporate environment. You will actively shape the digital transformation of our business, which has high management attention and dedication.

Your Profile and Skills:

• Student in Computer Science, Data Analytics, Engineering, or Business Informatics (Bachelor or Master).
• Solid analytical skills and initial hands-on experience with SQL, Python, and Power BI.
• Interest in Azure Data Platform technologies (Data Factory, Databricks, Data Lake, Power BI).
• Strong communication skills, proactive, and willing to take ownership of tasks.
• Fluent in English; German is an advantage.

We offer you the opportunity to:

• Exciting opportunity to work on a global Azure-based Data Platform (CDP Nexus).
• Mentoring by experienced Data Architects and Engineers.
• Insight into the industrial IoT and data ecosystem of TK Elevator.
• Flexible working model with hybrid options in Düsseldorf.

• From theory to practice - you gain valuable practical experience and have the chance to expand your professional network
• Above-average vacation entitlement - With us you get vacation according to the collective agreement
• Flexible work location - Depending on the task, you also have the option of working partly from your remote office
• Flexible working hours - With us, you can easily combine your studies with work
• Open corporate culture - We place more value on your personality than on a specific dress code
• Great team - We are on a first-name basis and communicate at eye level across all positions
• Your well-being is important to us - You can expect free hot and cold drinks for an optimal start to the day, a kiosk with rolls, cakes and snacks for the small appetite and varied discounted food in the canteen at noon
• Almost as nice as at home - We offer you bright, modern workplaces and good IT equipment

Please apply online in English an provide your earliest possible start date.

Zuzanna Kaskiewicz

Talent Acquisition

Temporary Engineering & urban mobility Information Technology Internships/study jobs