Related skills
sql python kubernetes databricks dbt📋 Description
- Build & maintain tooling for data transformation, visualization, and AI.
- Establish a data architecture for discovery and cross-team reuse.
- Partner with data teams to scope, prioritise and deliver impact.
- Foster Analytics Engineers with training and collaboration.
- Manage a multi-skilled team of 3-5 engineers, supporting their development.
🎯 Requirements
- Cutting-edge analytics engineering mindset; dbt is a start.
- Breadth and depth across the analytics development lifecycle.
- Extensive Python and Git knowledge with testing, CI/CD, observability.
- Ability to work with diverse stakeholders, balancing needs and value.
- Autonomy and pragmatism; self-driven projects.
- Bonus: Leading small teams; BI platforms (Lightdash, Looker, Omni, Metabase).
🎁 Benefits
- Autonomy with a culture that values learning and impact.
- UK perks hub and a wide range of employee benefits.
- Opportunity to work on data, analytics and AI at scale.
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