Descripción de la oferta
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.What you'll doOwn and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API designBuild and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standardsDrive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applicationsEngage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedbackCollaborate with Product, Cloud, and other engineering teams to align integration work with broader platform prioritiesBring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflowsAbout you7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML EngineerDeep, 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)Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in productionSolid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related librariesStrong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databasesSolid experience with concurrent Python: threading, multiprocessing, and async patternsOutstanding written and verbal communication; comfortable collaborating across eThe Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.About the roleAs a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data 's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.What you'll doOwn and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API designDrive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applicationsEngage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedbackCollaborate with Product, Cloud, and other engineering teams to align integration work with broader platform prioritiesBring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflowsAbout you7+ years of software development experience, including hands-on time as a Data Scientist or ML EngineerDeep, 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)Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in productionSolid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related librariesStrong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databasesSolid experience with concurrent Python: threading, multiprocessing, and async patternsOutstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communitiesBonus points for:Prior experience as a Data Engineer or Data Scientist in a product-facing or platform roleFamiliarity with ClickHouse or similar high-performance OLAP platformsFamiliarity with the JVM ecosystemExperience deploying AI/ML models in production, including inference APIs and vector databasesFamiliarity with tools like dbt, Airflow, Dagster, Prefect is a plusPerksFlexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.Healthcare - Employer contributions towards your healthcare.Equity in the company - Every new team member who joins our company receives stock options.Time off - Flexible time off in the US, generous entitlement in other countries.A USD$500 Home office setup if you’re a remote employee.Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.Culture - We All Shape ItAs part of a rapidly scaling start-up, you will be instrumental in shaping our culture.Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s Opportunity & PrivacyClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please see here for our Privacy TypeFull timeLocation TypeRemoteDepartmentEngineering
