Senior Software Engineer

About the role

Join ClickHouse, a leading open-source columnar database management system, as a Senior Software Engineer specializing in Python and the Data Ecosystem. In this role, you will be a core contributor to ClickHouse's data engineering ecosystem, crafting tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale. You will own the full lifecycle of key Python integrations, drive the AI/LLM integration strategy, engage with the open-source community, and collaborate with various teams to align integration work with broader platform priorities. Key missions: Contribuer à l'évolution des parties critiques de l'écosystème d'ingénierie des données de ClickHouse, en particulier en ce qui concerne les intégrations Python.. Posséder et faire évoluer le connecteur Python de ClickHouse et l'écosystème SDK, en améliorant les performances, la fiabilité et la conception de l'API.. Concevoir des connecteurs et des modèles qui font de ClickHouse un choix naturel dans les architectures RAG, les pipelines de fonctionnalités ML et les applications de données alimentées par LLM. Profile: - Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation - 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities - Experience deploying AI/ML models in production, including inference APIs and vector databases - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with the JVM ecosystem - Familiarity with ClickHouse or similar high-performance OLAP platforms