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looker sql python kubernetes databricksπ Description
- Build and maintain tooling for data transformation, viz, and AI
- Establish data architecture enabling discovery, cross-team reuse
- Partner with data teams to scope opportunities and deliver impact
- Grow analytics engineers through training, docs, and collaboration
- Manage a multi-skilled team of 3-5 engineers
π― Requirements
- Deep analytics engineering experience across the analytics lifecycle
- Python and Git proficiency; strong software fundamentals (testing, CI/CD, observability)
- Collaborative with diverse stakeholders; prioritise value
- Autonomy and pragmatic, self-driven project work
- Bonus: leading small teams
- Bonus: BI platforms like Lightdash, Looker, Omni, Metabase
π Benefits
- Competitive salary discussions with recruiters
- Autonomy and co-ownership culture
- Access to Octopus Employee Benefits
- Recognised as a top UK company to work for
- Global impact across 8 countries
- Flexible interview process
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