Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will enhance ClickHouse's Python connector and build integrations with platforms like Airflow and dbt, aiming for top-quality standards while driving AI/LLM integration strategies.
Job Technologies
Your role in the team
- 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.
- Führen Sie die AI/LLM-Integrationsstrategie an: Entwicklung von Konnektoren und Mustern, die ClickHouse nahtlos in RAG-Architekturen, ML-Feature-Pipelines und LLM-gesteuerte Datenanwendungen integrieren.
- 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.
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Our expectations of you
Qualifications
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities.
Experience
- 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.
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Clickhouse
ClickHouse GmbH, based in Harxheim, Germany, is an experienced digital agency specializing in E-commerce, web development, and online marketing. It supports clients in implementing their digital projects with a comprehensive range of services.
Description
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Software Engineer - Integrations
- Location
- Berlin
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
