WHAT WE OFFER

• Modern development tools and methodologies

• A collegial and sustainability-oriented working environment

• Work in a young and agile development team

• Insight into various facets of development through diverse and practical work packages

• Flexible working hours and appropriate compensation

• Health promotion through Hansefit

• Subsidies for the Deutschlandticket (Germany Ticket)

• Employee discounts, company events, and on-site parking

YOUR RESPONSIBILITIES

• Support the Quality Department in efficiency and continuous improvement initiatives across processes and tools

• Analyze existing business and quality processes to identify automation and optimization potential

• Design and develop custom digital solutions that align with employee needs and real process requirements (main focus)

• Support the implementation of automation and AI-based concepts in quality-related workflows

• Collaborate with quality engineers and process owners to translate requirements into technical solutions

• Assist in data preparation, validation, and analysis for quality and compliance use cases

• Document developed solutions, concepts, and learnings to enable sustainable use and future scaling

WHAT WE ARE LOOKING FOR

• Ongoing studies in a technical field (e.g. engineering, computer science, data science, industrial engineering, or similar)

• Programming experience, ideally with Python (e.g. scripting, data processing, automation)

• Basic understanding of business processes and structured problem-solving

• Interest in process automation, digitalization, and AI applications

• Ability to work independently and analytically with a hands-on mindset

• Good communication skills and the ability to work with cross-functional teams

POSSIBLE PROJECTS YOU MAY WORK ON

• AI-supported review and validation of requirements (e.g. consistency, completeness, compliance checks)

• Automated creation and verification of failure analysis reports (e.g. FMEA-related data processing)

• Automated verification and plausibility checks of supplier documentation

• Prototyping internal tools to improve quality transparency and decision-making