Senior Data Engineer (f/m/d)
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Senior Data Engineer Location: Germany / Spain / Romania (Remote) The Role 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. Tasks Developing and
Key Responsibilities
- 1Developing and driving the architecture of complex data systems that prioritize scalability, reliability, and long-term maintainability.
- 2Designing and optimizing production-grade data pipelines , with a primary focus on high-throughput, real-time streaming.
- 3Driving Spec-Driven Development (SDD) using OpenSpec or GitHub Spec Kit to create strict engineering contracts that ensure predictable, high-quality AI code generation.
- 4Orchestrating agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to rapidly build, refactor, and scale our data infrastructure.
- 5Taking full accountability and ownership of system components, working in a self-sufficient manner to solve deep technical challenges.
- 6Implementing rigorous testing and monitoring frameworks to ensure the integrity of mission-critical data.
- 7Mentoring junior engineers and fostering a culture of technical excellence through open feedback and architectural reviews
Requirements
- 10+ years of professional experience , with 5+ years specifically focused on Data Engineering .
- Deep technical expertise with Kafka (including Producers, Consumers, and Stream Processing) for building scalable, real-time architectures.
- Strong experience with OLAP databases (expertise in Clickhouse is highly preferred).
- 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.
- 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.
- Excellent communication skills and a desire to work in an environment based on transparency and feedback.
- Fluency in English
Perks & Benefits
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