Data Engineer

Responsibilities

What You Should Bring

Required:

Desired:

What We Offer You

• You will conduct data analyses based on data streams and connected existing software of the timetable IT.
• You will clarify and coordinate technical topics independently with other teams and departments within timetable data management and timetable IT.
• You will take co-responsibility for Python analysis libraries and scripts, further develop them, and ensure quality and documentation.
• You will create and present data visualizations to support decision-making, coordination, and review formats.
• You will coordinate functionally with interface partners and synchronize content with the architecture and development team.
• You will develop technical concepts and solution options based on data analyses, considering technical and economic framework conditions.
• You will document functional and non-functional requirements and maintain product documentation.
• You will create and execute test cases relevant for acceptance and define acceptance criteria.
• You will promote knowledge exchange and standardization within the team and actively build knowledge in the domain of timetable and capacity management.
• You will provide occasional support to the Product Owner in clarifying requirements and backlog maintenance.
• Practical experience in conducting data analyses on structured datasets, especially with mass data or data stream analyses.
• Proven experience in cross-departmental coordination of technical requirements with development, architecture, and technical teams.
• Experience in co-responsibility or ownership of code repositories as well as script and library assets in a team context.
• Practical experience in using GenAI-supported tools for analysis, documentation, or development, or high methodological competence in quickly learning such working methods.
• At least 3 years of experience in requirements analysis and conception in IT projects with high system complexity and many interfaces.
• At least 4 years of practical experience in Python for data processing, analysis, and visualization.
• Experience in agile projects or teams, ideally according to Scrum or SAFe.
• Strong analytical and solution-oriented mindset.
• Structured and proactive way of working.
• High teamwork skills, communication strength, independence, resilience, and assertiveness.
• Product Level Mindset.
• Experience in creating Epics, Features, and User Stories in an agile development context.
• Experience in the context of timetables, railway operations, or with a logistics infrastructure company.
• Experience in the analysis and conception of data models and database structures.
• Knowledge of business process modeling with common notations, e.g., BPMN.
• SAFe experience at team or program level.
• Knowledge of processes in timetable and capacity management or comparable operational IT domains.
• Experience in creating system documentation and user manuals.
• Experience in handling legacy system landscapes and migration projects.
• Enjoyment of consulting, moderation, and collaboration within the development team.
• Openness to change and a good understanding of technical contexts in close coordination with the team and Product Owner.
• Good German language skills, spoken and written (min. C1).
• A strategically important project in building a new timetable data core with high visibility and long-term perspective.
• A technologically modern environment with cloud architecture, PostgreSQL, Java, Spring Boot, Kafka, ActiveMQ, and integration with existing solutions.
• An agile DevOps setup with short release cycles and significant technical ownership within the team.
• The opportunity to actively incorporate AI-supported working methods into analysis, documentation, and development processes.
• A highly networked working environment with close collaboration across departments, architecture, and development.
• An experienced and motivated team with room for initiative, knowledge building, and co-creation.
• Work is performed 80% remote and 20% onsite (Frankfurt (Main)).

Project details

• Start: flexible
• Remote: hybrid
• Location: Frankfurt (Main), Deutschland, DE
• Languages: German