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Senior Software Engineer - Python and Data Ecosystem

2 months ago
France, Spain, United States, Canada, United Kingdom, Czech Republic, Germany, Italy, Netherlands, Poland, Portugal, Israel, United Arab Emirates
Full-time
Senior
Backend Engineer
Software Development
Apache Airflow Apache Spark ClickHouse Dagster dbt Flink Metabase NumPy Pandas Power BI Prefect Python SQL Superset Tableau
Apply Now
ClickHouse

ClickHouse

ClickHouse provides a fast open source column-oriented database management system that enables users to generate real-time analytical data reports through SQL queries, catering to the needs of industries requiring efficient data processing and analysis.

IT Services
51-250
Founded 2021
$300M raised
View All Jobs 158

Description

  • Own and evolve ClickHouse's Python connector and SDK ecosystem with a focus on performance, reliability, and API design.
  • Build and maintain enterprise-grade integrations with orchestration platforms such as Airflow, Dagster, and Prefect.
  • Develop and support integrations with transformation tools such as dbt.
  • Drive the AI and LLM integration strategy for use cases such as RAG, vector stores, ML feature pipelines, and LLM-powered data applications.
  • Engage with the open-source community by triaging issues, supporting contributors, and incorporating user feedback into the roadmap.
  • Collaborate with Product, Cloud, and engineering teams to align integration work with broader platform priorities.
  • Bring a practitioner’s perspective to roadmap decisions based on real Data Engineer and Data Scientist workflows.
  • Own the full lifecycle of key Python integrations, including architecture, performance, and feature direction.

Requirements

  • 7+ years of software development experience, ideally with hands-on experience as a Data Engineer, Data Scientist, or ML Engineer.
  • Proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform.
  • Strong experience with the Python data ecosystem, including Pandas, NumPy, Pydantic, and related libraries.
  • Practical experience with data orchestration tools such as Airflow, Dagster, or Prefect.
  • Hands-on experience using AI/ML in production data engineering contexts, including embedding generation, vector search, feature pipelines, or LLM tooling.
  • Strong understanding of SQL, data modeling, query optimization, and OLAP or analytical databases.
  • Experience with concurrent Python patterns, including threading, multiprocessing, and async programming.
  • Outstanding written and verbal communication skills and comfort collaborating across engineering functions and with open-source communities.
  • Experience deploying AI/ML models in production, including inference APIs and vector databases, is a plus.
  • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role is preferred.
  • Familiarity with ClickHouse or similar high-performance OLAP platforms is a plus.
  • Familiarity with the JVM ecosystem is a plus.

Benefits

  • Remote-friendly, globally distributed work environment with operations in more than 20 countries.
  • Employer contributions toward healthcare.
  • Equity in the company through stock options for every new team member.
  • Flexible time off in the US and generous leave entitlement in other countries.
  • A $500 home office setup stipend for remote employees.
  • Opportunities to connect with colleagues through company-wide offsites and global gatherings.

Interested in this position?

Apply directly on the company website

Apply Now

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