Job Description

In your role, you will make an impact by….

• 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

You are a perfect fit, if you have…

• 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

Ideally, you also have…….

• Previous experience or knowledge working with Redis or Elasticsearch
• A proactive approach to architectural decision-making and a history of leading complex technical projects from conception to production.
• A collaborative mindset that values mentorship and the continuous improvement of engineering processes.
• Experience optimizing distributed system performance at significant scale.

And most importantly, what's in it for you...

• 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.