About the job
About ClickHouse
Listed among the 2025 Forbes Cloud 100, ClickHouse stands out as a pioneering and rapidly expanding private cloud organization. With a robust customer base exceeding 3,000 and an annual recurring revenue (ARR) growth surpassing 250% year-on-year, we are at the forefront of real-time analytics, data warehousing, observability, and AI workloads.
Our recent $400M Series D funding round validates our continuous momentum. In the last quarter, notable clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either implemented or expanded their use of our platform, joining a prestigious roster of AI innovators and global brands including Meta, Cursor, Sony, and Tesla.
Join us in our mission to revolutionize data utilization across industries!
The Connectors team serves as the vital link between ClickHouse and the expansive data ecosystem. We design and maintain integrations that empower millions of developers, data professionals, and AI systems worldwide, ranging from advanced data visualization tools (like Tableau, PowerBI, Superset, Metabase) to connectors for data processing frameworks (including Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI toolsets.
Our efforts are integral in shaping how organizations handle vast datasets, from real-time analytics platforms managing millions of events per second to observability systems that monitor global infrastructures, and increasingly, AI-driven data applications that redefine team workflows. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure our integrations set new benchmarks in performance, reliability, and user experience.
About the Role
As a Senior Software Engineer with expertise in Python and the Data Ecosystem, you will play a pivotal role in developing and advancing key components of ClickHouse's data engineering ecosystem. This position intersects high-performance database engineering and user experience. Your contributions will involve creating tools that enable Data Engineers and Data Scientists to leverage ClickHouse's speed and scalability seamlessly within their existing frameworks.
We seek a candidate who has firsthand experience as a Data Engineer or Data Scientist. The landscape for data practitioners is evolving rapidly: databases are transforming from mere query targets to active participants in AI-driven workflows, functioning as vector stores for retrieval-augmented generation (RAG) pipelines, backends for large language model (LLM)-driven agents, and real-time feature stores for machine learning inference. You comprehend these workflows not from an external viewpoint but from active engagement. You don’t just develop integrations; you provide product-level insights that drive innovation.

