As Lead Analytics Engineer at Wise in London, you will mentor analysts and drive the data infrastructure roadmap to enable fast, reliable insights. You’ll build and guard core datasets, ensure data quality, and evangelise tooling like dbt and AI across the organization. You’ll shape data modelling practices and partner with squads to advance analytics capabilities. This is a high-impact role in a mission-driven, data-driven team that values practical solutions and cross-functional collaboration.
Pay / Benefits
RSUs
Flexible working
Paid annual leave
Sick days
Parental leave
Sabbatical after 4 years
Responsibilities
Lead and mentor analysts to establish best practices around infrastructure, monitoring, testing, and data modelling
Own and drive the data infrastructure roadmap for the assigned tribe
Build and maintain core datasets ensuring data quality and accessibility
Evangelise new tooling (dbt & AI applications) and drive adoption
Assess and implement data modelling best practices within the squad
Key requirements
Advanced proficiency in SQL
Advanced proficiency in Python
Proven experience building analytics pipelines and data models
Hands-on experience with Airflow or similar orchestration tool
Strong project management and communication skills
Excellent storytelling with data, translating insights into actionable narratives
Demonstrated Python development for practical solutions
Stakeholder empathy and ability to proactively solve problems
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