Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Full Remote
Job Zusammenfassung
In dieser Rolle entwickelst du leistungsstarke Datenpipelines mit Kafka und optimierst deren Architektur für Echtzeitanwendungen, während du KI-gestützte Systeme mit Claude Code orchestrierst und das Team mentorst.
Job Technologien
Deine Rolle im Team
- As a Senior Data Engineer, you will drive the end-to-end development of our core data infrastructure through AI-native engineering.
- Championing our AI DevEx approach, you will orchestrate AI agents to rapidly build, scale, and refactor high-performance systems.
- We are looking for a technical expert who takes hands-on ownership of distributed, real-time architectures.
- Leveraging your deep data engineering expertise, you will construct the robust pipelines that power our next-generation data products.
- Developing and driving the architecture of complex data systems that prioritize scalability, reliability, and long-term maintainability.
- Designing and optimizing production-grade data pipelines, with a primary focus on high-throughput, real-time streaming.
- Driving Spec-Driven Development (SDD) using OpenSpec or GitHub Spec Kit to create strict engineering contracts that ensure predictable, high-quality AI code generation.
- Orchestrating agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to rapidly build, refactor, and scale our data infrastructure.
- Taking full accountability and ownership of system components, working in a self-sufficient manner to solve deep technical challenges.
- Implementing rigorous testing and monitoring frameworks to ensure the integrity of mission-critical data.
- Mentoring junior engineers and fostering a culture of technical excellence through open feedback and architectural reviews.
Unsere Erwartungen an dich
Qualifikationen
- Deep technical expertise with Kafka (including Producers, Consumers, and Stream Processing) for building scalable, real-time architectures.
- Good fluency in Python and SQL for complex data manipulation, optimization, and system building.
- Willingness to embrace highly agentic AI-assisted development, specifically using Claude Code to autonomously navigate codebases, execute multi-step engineering tasks, and accelerate development cycles while maintaining high code quality.
- Excellent communication skills and a desire to work in an environment based on transparency and feedback.
- Fluency in English.
Erfahrung
- 10+ years of professional experience, with 5+ years specifically focused on Data Engineering.
- Strong experience with OLAP databases (expertise in Clickhouse is highly preferred).
- Strong hands-on experience with Docker, Kubernetes, and automated CI/CD pipelines.
- Significant experience with open-source tools and technologies within the modern data stack.
Unser Angebot
- Global & Diverse Team: Work in a collaborative, multicultural environment.
- Flexibility: Flexible working hours to help you shape your own work-life balance.
- Remote-First: A truly remote-friendly environment.
- Growth: Ongoing career development, training, and coaching.
- Learning Time: Six dedicated days per year for learning and development.
- Culture: Regular team events (in-person and virtual) and location-based social benefits.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Trustyou Alle
Die TrustYou GmbH, ansässig in München, ist ein renommiertes Unternehmen, das eine KI-gestützte Plattform für die Hotelbranche anbietet. Die Lösungen des Unternehmens fokussieren sich auf die Verbesserung der Kundenerfahrung, die Verwaltung von Kundendaten und die Kommunikation mit Gästen, um Hospitality-Marken bei der Bearbeitung von Gästefeedback und -interaktionen zu unterstützen.
Description
- Unternehmenstyp
- Etablierte Firma
- Branche
- Internet, IT, Telekom
Senior Data Engineer
- Ort
- München
- Arbeitsmodell
- Full Remote
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
