Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Full Remote
Job Summary
In this role, you will develop high-performance data pipeline architectures, optimize streaming processes with Kafka, and leverage agentic AI technologies for system enhancement and automation of data infrastructure.
Job Technologies
Your role in the 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.
- Entwicklung und Steuerung der Architektur komplexer Datensysteme, die Skalierbarkeit, Zuverlässigkeit und langfristige Wartbarkeit priorisieren.
- 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- Flexible working hours to help you shape your own work-life balance.
- A truly remote-friendly environment.
- Ongoing career development, training, and coaching.
- Six dedicated days per year for learning and development.
- Regular team events (in-person and virtual) and location-based social benefits.
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Description
- Company Type
- Established Company
- Working Model
- Full Remote
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Location
- Munich
- Working Model
- Full Remote
- Diversity
- Open for all genders
- English Only
- English only required
