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Senior Software Engineer - Python and Data Ecosystem

Clickhouse
senior
Work Type

Remote

Open to applicants in

Germany

Seniority

senior

Posted

July 9, 2026


Expected Salary
$100k+
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Job Description

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.

What you'll do

  • 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

Compensation

For roles based in the United States the 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.

Perks

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.

    We currently operate in over 20 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 $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 It

As 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 happening at ClickHouse.

Equal Opportunity & Privacy 

ClickHouse 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 Statement.

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