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 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.
• 
  
• Fluency in English
• 
  

Benefits

• 
  
• 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.