Senior Data Engineer

This is a fully remote position, open to applicants in Germany, +2 more countries.

📋 Description

• In the role of Senior Data Engineer, you will lead the comprehensive development of our essential data infrastructure through AI-native engineering.

• By advocating for our AI DevEx strategy, you will coordinate AI agents to swiftly construct, scale, and refine high-performance systems.

• You will be responsible for developing and steering the architecture of intricate data systems that emphasize scalability, reliability, and long-term sustainability.

• Your focus will be on designing and optimizing production-grade data pipelines, particularly emphasizing high-throughput, real-time streaming.

• You will implement Spec-Driven Development (SDD) utilizing OpenSpec or GitHub Spec Kit to establish strict engineering contracts that guarantee predictable, high-quality AI code generation.

• Orchestrating agentic AI workflows with Claude Code and the Model Context Protocol (MCP) will be part of your responsibilities to swiftly construct, refactor, and expand our data infrastructure.

• You will take full responsibility for system components, working independently to address complex technical challenges.

• Implementing stringent testing and monitoring frameworks will be essential to ensure the integrity of mission-critical data.

• You will mentor junior engineers and promote a culture of technical excellence through open feedback and architectural reviews.

⛳️ Requirements

• A minimum of 10 years of professional experience, with at least 5 years concentrated on Data Engineering.

• Extensive technical knowledge of Kafka (including Producers, Consumers, and Stream Processing) for constructing scalable, real-time architectures.

• Strong experience with OLAP databases, with particular expertise in Clickhouse being highly desirable.

• Proficiency in Python and SQL for intricate data manipulation, optimization, and system construction.

• A willingness to engage in highly agentic AI-assisted development, specifically utilizing Claude Code to autonomously navigate codebases, perform multi-step engineering tasks, and expedite development cycles while maintaining high code quality.

• Solid hands-on experience with Docker, Kubernetes, and automated CI/CD pipelines.

• Significant experience with open-source tools and technologies within the contemporary data stack.

• Excellent communication abilities and a preference for working in a transparent and feedback-driven environment.

• Proficiency in English.

🏝️ Benefits

• Global & Diverse Team: Engage in a collaborative, multicultural atmosphere.

• Flexibility: Enjoy flexible working hours to help you create your own work-life balance.

• Remote-First: Experience a genuinely remote-friendly environment.

• Growth: Access ongoing career development, training, and coaching opportunities.

• Learning Time: Benefit from six dedicated days per year for learning and development.

• Culture: Participate in regular team events (both in-person and virtual) and enjoy location-based social benefits.