Senior Data Engineer

Job description

## **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. ### 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.