ClickHouse

3 weeks ago

Senior Software Engineer - Python and Data Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own and evolve the Python connector and SDK ecosystem, building production-grade integrations that make ClickHouse a natural fit across orchestration, transformation, BI, and MLOps workflows. Partner with Product, Cloud, and engineering to deliver high-quality connectors using Python data tooling and robust database fundamentals. Drive AI/LLM integration strategy for RAG, feature pipelines, and LLM-powered data applications, while engaging actively with the open-source community to shape the roadmap.

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
•Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connector patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications.
•Engage actively with the open-source community by triaging issues, supporting contributors, and shaping the roadmap from feedback.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Perks:Health InsuranceEquityTime OffHome Office

Key Requirements

•7+ years of software development experience, including hands-on work as a Data Engineer, Data Scientist, or ML Engineer.
•Deep 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 AI/ML experience in production data-engineering contexts, such as embedding generation, vector search, feature pipelines, or LLM-powered tooling deployed in production.
•Solid experience with the Python data ecosystem including Pandas, NumPy, Pydantic, and related libraries.
•Strong fundamentals in SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringMachine learningOpen sourceData analyticsObservability

Skills:Written and verbal communicationCross-functional collaborationOpen-source collaboration

Tech Stack:PythonPandasNumPyPydanticSQLAirflowDagsterPrefectDbtApache SparkFlinkKafka ConnectFivetranTableauPowerBISupersetMetabaseThreadingMultiprocessingAsync

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

3 weeks ago

Senior Software Engineer - Python and Data Ecosystem

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
•Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standards.
•Drive the AI/LLM integration strategy by designing connector patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications.
•Engage actively with the open-source community by triaging issues, supporting contributors, and shaping the roadmap from feedback.
•Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Perks:Health InsuranceEquityTime OffHome Office

Key Requirements

•7+ years of software development experience, including hands-on work as a Data Engineer, Data Scientist, or ML Engineer.
•Deep 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 AI/ML experience in production data-engineering contexts, such as embedding generation, vector search, feature pipelines, or LLM-powered tooling deployed in production.
•Solid experience with the Python data ecosystem including Pandas, NumPy, Pydantic, and related libraries.
•Strong fundamentals in SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Experience:7+ yearsData engineeringMachine learningOpen sourceData analyticsObservability

Skills:Written and verbal communicationCross-functional collaborationOpen-source collaboration

Tech Stack:PythonPandasNumPyPydanticSQLAirflowDagsterPrefectDbtApache SparkFlinkKafka ConnectFivetranTableauPowerBISupersetMetabaseThreadingMultiprocessingAsync

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn