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