2 of 2 Polars Jobs in the North of England

that keep the technical build strategic. What makes a great candidate Strong proficiency in Python and SQL. Comfortable working with modern data‐processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent). Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring ...

Warehouses, Streams/Tasks, Snowpipe, Snowpark, UDFs/Stored Procedures, Time Travel and Cloning. Snowpark and end‐to‐end pipeline development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake‐optimised SQL. dbt, including Jinja templating, or equivalent ...