Lead Data Analytics Engineer
HybridLondon, England, United Kingdom
Job Summary
Lead enterprise data modelling, establish reusable patterns across domain and dimensional architectures, and reduce duplication in analytical models. Drive the analytics automation agenda by applying Snowflake Cortex, LLMs, and intelligent agents to transform development, testing, and deployment workflows. Build reusable automation frameworks and accelerators that enable squads to independently deliver trusted, scalable data products while maintaining engineering excellence. Act as senior technical authority for complex solutions, mentor engineers through communities of practice, and partner with leadership to shape the technical roadmap. Focus on modernising platforms, reducing technical debt, and removing recurring bottlenecks through self-service capabilities.
Required Qualifications
- Strong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL
- Proven experience building automation, reusable engineering frameworks and scalable analytical architectures
- Strong technical leadership experience, including influencing multiple teams, solving complex engineering challenges and mentoring senior engineers
- Experience applying GenAI, LLMs, AI agents or Snowflake Cortex to engineering automation
- A hands-on, outcome-driven engineering leader who leads from the front by designing, building, and delivering solutions
- Individual contributor mindset, someone who is equally comfortable defining strategy and implementing it through working code, prototypes, and production-ready solutions
Desired Qualifications
- Python and modern data observability/lineage experience
- Experience enabling self-service engineering across distributed analytics teams
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.