Senior Software Engineer – Python, Data Ecosystem

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ClickHouse

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2016

☁️ SaaS

🏢 Entreprise

🤖 Intelligence artificielle

SaaS • Enterprise • Artificial Intelligence

ClickHouse est un entrepôt de données temps réel et une base de données open source, rapide et économe en ressources, conçu pour offrir des performances de requêtes supérieures pour les applications critiques et sensibles au temps. Disponible en service cloud sur les principales plateformes (AWS, GCP, Azure), avec une option "Bring Your Own Cloud" et un large éventail d’intégrations pour une exploitation fluide au sein de stacks technologiques variées. ClickHouse excelle en analytique en temps réel, machine learning, business intelligence et observabilité, ce qui en fait un choix idéal pour des cas d’usage tels que les services financiers, la détection de fraude et l’analytique des jeux vidéo. Il prend en charge des opérations SQL pensées pour les développeurs, propose des solutions de stockage économiques et constitue une alternative open source aux bases de données traditionnelles. Des entreprises comme Sony, Lyft, Cisco, GitLab et Twilio s’appuient sur ClickHouse pour sa scalabilité, son efficacité et sa simplicité d’utilisation.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• 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.