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Senior Software Engineer - Python and Data Ecosystem

External
ClickHouse logoClickhouse · (remote), Germany
Full-timeRemote2w ago
AirflowApacheAPI DesignData ModelingData Warehousingdbt
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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: designing 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
  • About you
  • 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
  • Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
  • Bonus points for:
  • 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
  • Eligible locations:
  • USA
  • Canada
  • UK
  • Portugal
  • Spain
  • France
  • Italy
  • Germany
  • Netherlands
  • Poland
  • Czech republic
  • Israel
  • UAE

Benefits

For roles based in the United States , t he typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com .Flexible work environment - ClickHouse is a glFlexible schedulePerformance bonus

Additional Information

About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! 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.

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