Senior Data Engineer

thyssenkrupp is an international industrial and technology group with around 98,000 employees. In the fiscal year 2023/2024, the company generated sales of 35 billion in 47 countries. Its business activities are bundled in five segments: Automotive Technology, Decarbon Technologies, Materials Services, Steel Europe and Marine Systems. With extensive technology know-how, the businesses develop innovative solutions for the challenges of the future, especially in the fields of climate protection, the energy transition, digital transformation in the industry and mobility of the future.

In the Hungarian development center with our engineering team of 1000 we are present as an innovative and significant partner in one of the fastest growing and most exciting segment of the automotive industry, in the field of electromechanical steering systems. With outstanding quality and high-tech developments we meet the needs of renowned car manufacturers and our developments can be found in 25 % of the manufactured cars all over the world. Our engineers work on new challenges that can change the future of automotive.

We are looking for a Senior Data Engineer to drive the development of scalable data products and modern data platform capabilities. Working at the intersection of data, AI, and business, you will help transform complex requirements into high-impact solutions that create measurable value.

Key Responsibilities

• Define, implement, and continuously refine data- and AI-driven business cases aligned with strategic objectives
• Own the end-to-end lifecycle of data products, from design and development to deployment and operation
• Design and establish a scalable data catalog to improve data discoverability and governance
• Drive the integration of AI- and analytics-based functionalities into existing and new business processes and systems
• Enhance data product generation and data quality management through the application of AI capabilities
• Build, introduce, and scale platform communities (e.g., Databricks) to foster adoption, knowledge sharing, and collaboration
• Actively challenge, shape, and manage business requirements to ensure value-driven delivery
• Collaborate closely with Data Scientists, Analysts, Engineers, and business stakeholders across the organization
• Ensure high-quality documentation and compliance with security, governance, and data management standards

• University degree in Computer Science, Business Informatics, or a comparable qualification
• Several years of experience in designing and implementing complex data & AI ecosystem architectures in enterprise environments
• Strong technical understanding of modern data platforms and data processing approaches (e.g., data engineering, data warehousing, data lakes/lakehouse, data integration, and analytics enablement) and their productive use
• Proven expertise in cloud technologies (preferably Azure), containerization (e.g., Docker, Kubernetes), CI/CD, and DataOps practices
• Experience in leading technical teams and managing stakeholders across multiple organizational levels
• Excellent communication skills, strong strategic thinking, and a pragmatic, solution-oriented hands-on mindset
• Professional proficiency in English (written and spoken), German is a plus

• A modern office in the 11th district is waiting for you to support your creativity with fun community places, cafe rooms, an own cinema and a skybar
• We support you with flexible working hours and home office opportunity
• Competitive salary and wide range of other benefits (cafeteria & bonus) are provided to you
• You can be part of a successful and growing company in the field of technology
• You can learn new languages in small groups, selecting from 5 languages
• We organize leisure time activities (board games, sport activities)