Senior Data Engineer

📋 Description Develop and monitor robust data pipelines using Python, SQL, and Rundeck/Airflow that handle Design performant data models and optimize complex SQL queries for high-scale environments. Build automated checks and alerts to catch errors early so financial and operational reports remain Automate repetitive tasks and build self-service tools to make data easier to use across teams. Experiment with and leverage AI-assisted coding tools to accelerate development cycles and enhance Translate business questions into practical, maintainable technical solutions. 🎯 Requirements 5+ years of proven experience in data engineering or analytics engineering within a related Experience owning end-to-end data pipelines (ingest → transform → test → monitor). Strong SQL skills and familiarity with distributed/columnar/OLAP systems (examples: Redshift Proficiency in Python and a software-engineering approach to building testable, maintainable code. Experience with workflow orchestration and containerization (examples: Airflow, Docker). Strong analytical and troubleshooting skills for investigating data issues. 🎁 Benefits Work from (almost) anywhere for up to 20 days per year Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of No meeting Fridays Paid parental leave