We're looking for a Senior Data Engineer to scale our data capabilities and build robust data infrastructure. You will focus on building enterprise-scale pipelines, implementing MLOps and feature stores, and establishing dataops practices.
Requirements
- 5+ years of specific experience with modern data stack tools
- Expert proficiency in key technologies: Snowflake, SQL, Python, dbt and familiarity with MLflow
- Demonstrated understanding of end-to-end data product architecture
- Ability to deliver working solutions from a greenfield level
- Experience architecting data platforms handling high event volumes (100M+ events/day)
- 3+ years of experience embedded within product engineering teams as a data platform expert
Benefits
- Generous equity allocations with significant upside potential
- 25 Days Holiday
- Private health insurance, along with extra dental and eye care cover
- Employee Pension with Smart Pensions
- Enhanced parental leave
- Cycle-to-work Scheme
- Electric Car Scheme
- Free Dermatica and MedExpress products every month, as well as family discounts
- Home office allowance
- Access to a Headspace subscription, discounted gym memberships, and a learning and development budget