Lead Analytics Engineer

Location: Global

Team: General

About the Role

Wise is a global technology company revolutionizing the way people move and manage money across borders with minimal fees and maximum ease. We're seeking a Lead Analytics Engineer to join our Analytics Experience team in London, where you'll play a pivotal role in empowering over 130 Analysts and 2,500 weekly active users of our BI tools to access the right data quickly and build better products faster. In this leadership position, you'll mentor Analysts in your squad on best practices for infrastructure, monitoring, testing, and data modelling; own the data infrastructure roadmap for your tribe; build and maintain core datasets; champion new tools like dbt and AI applications; and drive data modelling excellence. With advanced SQL/Python skills, Airflow experience, and a passion for stakeholder empathy, you'll translate complex data into actionable insights that propel Wise's mission forward. Enjoy a competitive £85-110k base salary, RSUs, flexible working, generous leave including sabbaticals, and a truly inclusive culture committed to diversity, equity, and inclusion for everyone, everywhere.

Key Responsibilities

• Work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling
• Take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution
• Play a key role in building and maintaining core datasets, ensuring data quality and accessibility
• Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization
• Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities

Required Qualifications

• Advanced proficiency in SQL and Python
• Proven experience in building robust analytics pipelines and designing effective data models
• Hands-on experience using an orchestration tool like Airflow
• Strong capabilities in project management and communication, with a track record of driving initiatives
• Excellent storytelling ability with data, translating complex insights into clear, actionable narratives
• Demonstrated ability to build practical solutions using Python
• Able to build strong empathy for stakeholders and internal customers, proactively identifying and solving their problems
• Driver of best practices regarding Business Intelligence Tools like Looker or Superset

Preferred Qualifications

• Experience with dbt
• Knowledge of AI applications in analytics
• Familiarity with Wise's Analytics Career Map

Required Skills

• SQL
• Python
• Data pipelining
• Data modelling
• Orchestration tools (e.g., Airflow)
• Project management
• Data storytelling
• Stakeholder empathy
• BI Tools (Looker, Superset)
• Mentoring and leadership

Benefits

• Base salary: £85-110k gross / year (based on experience & interview outcomes)
• Restricted Stock Units (RSUs)
• Flexible working
• Paid annual holiday, sick days, parental leave and other leave opportunities
• 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
• Best in class benefits

Wise is an equal opportunity employer committed to building a diverse workforce.