Senior Software Engineer - Python and Data Ecosystem
New
USA, Canada, UK, Portugal, Spain, France, Italy, Germany, Netherlands, Poland, Czech republic, Israel, UAEFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLNumpyAirflowPandasdbt
Requirements
- 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.
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries.
- Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production.
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns.
- Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect).
- Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
