Principal Data Engineer

📋 Description

• Own the architecture of the data platform end to end, and make the calls on build vs. buy, batch
• Build the quality layer that catches silent failure: contracts at every handoff, freshness and
• Improve entity matching and attribution — and make match decisions explainable to the customers who
• Make our release cycle boring. Recurring deliveries should not depend on people watching them.
• Treat compute cost as a first-class engineering metric across Spark, orchestration, and the serving

🎯 Requirements

• 15+ years building production grade data engineering systems, with a minimum of 5 years in a staff
• Deep Spark and Databricks expertise at multi-terabyte scale, including the operational side of
• Strong SQL and dimensional modelling, and the judgment to know when to break the rules.
• Experience with performant and scalable OLTP setups (MySQL/Postgres).
• Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks.
• Proven experience in AWS ecosystems (EC2, S3, EMR).

🎁 Benefits

• Comprehensive healthcare coverage for employees and their families
• Monthly wellness reimbursement
• Access to Able To professional mental health coaching
• 401(k) with up to 5% company matching (US employees)
• Pension scheme (UK employees)
• Stock options for all employees