Senior Software Engineer
Hace 2 días
La Mancha comarca, Provincia de Ciudad Real; Castilla-La Mancha, España
ClickHouse
Jornada completa
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Overview As a Senior Software Engineer focusing on the AI & ML ecosystem, you will own and evolve ClickHouses AI integrations and Python SDKs to improve performance, reliability, and developer experience. You'll design and maintain connectors with orchestration and transformation tools, and shape AI/LLM integration strategy for RAG pipelines and ML feature workflows. You'll engage with the open-source community and align work with product and platform priorities. Your work helps data practitioners build AI-powered data apps on ClickHouse at scale. This role combines high-performance database engineering with developer-focused tooling to enable AI-driven data workflows.
Compensaciones / Beneficios Flexible work environment
Healthcare contributions
Equity in the company
Flexible time off
Remote-friendly, global team
Home office setup stipend
Responsabilidades Own and evolve ClickHouses Python connector and SDK ecosystem to boost performance, reliability, and API quality
Develop integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standards
Define and implement AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage with the open-source community: triage issues, support contributors, advocate for users, and influence roadmap
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring practitioner perspective to roadmap decisions, prioritizing genuine Data Engineer and Data Scientist workflows
Requisitos principales 7+ years of software development experience with hands-on data engineering, data science, or ML engineering
Proven experience designing and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform
Hands-on experience applying AI/ML in production data-engineering contexts: embeddings, vector search, feature pipelines, or LLM tooling
Strong Python data ecosystem knowledge: Pandas, NumPy, Pydantic
Solid SQL, data modeling, query optimization, OLAP/analytical databases
Experience with concurrent Python: threading, multiprocessing, and async patterns
Excellent written and verbal communication; ability to collaborate across engineering functions and open-source communities
collaborative
customer-focused
communication
Python connectors and SDKs
AI/ML in production: embeddings, vector search
Pandas, NumPy, Pydantic