Senior Data Engineer (f/m/d)

• 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

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.