Solution Engineer

Quick Facts

• Role: Solution Engineer

Description

You will connect business requirements with data platforms, cloud technologies, and AI use cases to design and deliver digital solutions—from the first idea to productive deployment. You will advise customers on IoT, data, and AI topics and collaborate with technical teams to translate business needs into solution concepts, user stories, and acceptance criteria.

Responsibilities

• Consult customers on IoT, data, and AI topics—from needs analysis to production-ready solutions

• Analyze business processes and translate requirements into technical concepts, user stories, and acceptance criteria

• Develop data architectures, data models, analytics products, and AI use cases with solution architects

• Support the implementation of data, analytics, and AI solutions with development teams and data engineers

• Evaluate standard solutions, configuration options, and required new developments

• Plan and moderate workshops, demos, tests, and validations with customers and project teams

Requirements

• Degree in Computer Science, Business Informatics, Data Science, Information Systems, Engineering, or comparable qualification

• Minimum 5 years of relevant experience in consulting, business analysis, solution engineering, or solution design for data, analytics, or AI projects

• Experience in customer-oriented interface roles between business units and technical teams

• Solid knowledge of data platforms, data modeling, ETL/ELT, Business Intelligence, machine learning, and generative AI

• Experience with requirements and process analysis, user stories, acceptance criteria, and workshop moderation

• Knowledge of cloud platforms (Microsoft Azure, AWS, or Google Cloud Platform) and data governance, IT security, and authorization concepts

• Ideally hands-on experience with Python, SQL, data analysis, or AI technologies

• Excellent German and English skills plus a structured, communicative, solution-oriented working style

Benefits

• Mobile working

• Individual training and development (academy)

• Health offers and support for sustainable mobility

• Discounts and an employee referral program

• Childcare support (Kita subsidy) and additional benefits for special private events