Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du den Python-Connector von ClickHouse weiter und baust Integrationen mit Plattformen wie Airflow und dbt, um höchste Qualitätsstandards zu erreichen und AI/LLM-Strategien voranzutreiben.
Job Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Clickhouse
Die ClickHouse GmbH, ansässig in Harxheim, Deutschland, ist eine erfahrene digitale Agentur, die sich auf die Bereiche E-Commerce, Webentwicklung und Online-Marketing fokussiert. Sie unterstützt Kunden bei der Umsetzung ihrer digitalen Projekte mit einem umfassenden Leistungsspektrum.
Description
- Unternehmenstyp
- Digitale Agentur
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Software Engineer - Integrations
- Ort
- Berlin
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
