Senior Software Engineer - Python and Data Ecosystem
ClickHouse's Connectors team is the bridge between ClickHouse and the broader data ecosystem, building integrations from BI plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. As a Senior Software Engineer, you will own the Python connector and SDK ecosystem, build integrations with orchestration and transformation tools, and drive the AI/LLM integration strategy. Eligible locations include the USA, Canada, UK, Portugal, Spain, France, Italy, Germany, Netherlands, Poland, Czech Republic, Israel and UAE.
Responsibilities
- ▹Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- ▹Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- ▹Drive the AI/LLM integration strategy: design connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- ▹Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- ▹Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- ▹Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
Requirements
- ▹7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- ▹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)
- ▹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 production
- ▹Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- ▹Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- ▹Solid experience with concurrent Python: threading, multiprocessing, and async patterns
Nice to have
- ▹Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- ▹Familiarity with ClickHouse or similar high-performance OLAP platforms
- ▹Familiarity with the JVM ecosystem
- ▹Experience deploying AI/ML models in production, including inference APIs and vector databases
Soft skills
What we offer
- ▹Flexible, remote-friendly work environment across more than 20 countries
- ▹Employer contributions towards healthcare
- ▹Stock options for every new team member
- ▹Flexible time off in the US, generous entitlement in other countries
- ▹$500 home office setup budget for remote employees
- ▹Global gatherings and company-wide offsites
About the company
ClickHouse, recognized on the 2025 Forbes Cloud 100 list, is one of the most innovative and fast-growing private cloud companies, leading the market in real-time analytics, data warehousing, observability, and AI workloads. It has more than 3,000 customers, ARR growing over 250 percent year over year, and recently closed a $400M Series D round. Customers include Capital One, Meta, Cursor, Sony, and Tesla.