3 of 3 Remote Polars Jobs in England

outcomes. Key Skills and Experience required Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes More ❯

in data-centric projects. Experience in developing and maintaining pipelines and infrastructure for products or applications, at scale. Strong knowledge of the Python Data Science stack (e.g., pandas/polars, scikit-learn). Ability to independently develop and maintain robust Python-based ETL/ELT data pipelines. Ability to independently develop LLM-based tools/products (e.g., RAG workflows). More ❯

Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management Demonstrated ability to build and maintain test automation frameworks and CI/CD pipelines Experience with Polars Perks & Benefits Benefits package including Restricted Stock Units (RSUs), family health insurance, and contributions to private pension plans Fitness reimbursement Work anywhere Veeva's headquarters is located in the San More ❯