Related skills
snowflake sql python dbt data governance📋 Description
- Lead design and build of end-to-end data pipelines (batch and streaming).
- Implement MLOps and feature stores for ML workflows.
- Establish DataOps: CI/CD, automated testing, deployment, monitoring.
- Provide technical leadership across product squads; mentor engineers.
- Ensure data governance and data quality across systems.
- Optimize compute and storage for pipeline performance and cost.
🎯 Requirements
- 5+ years delivering end-to-end data solutions with modern stacks.
- Proficiency in Snowflake, SQL, Python, dbt, and MLflow.
- Experience designing end-to-end data product architecture.
- Ability to deliver greenfield data solutions.
- Experience with high-volume events (100M+ per day) and HA.
- 3+ years in product engineering teams as a data platform expert.
🎁 Benefits
- Generous equity allocations with upside potential.
- 25 Days Holiday (+ bank holidays).
- Private health insurance, with dental and eye care.
- Employee Pension with Smart Pensions.
- Enhanced parental leave.
- Cycle-to-work scheme.
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