Lead Data Analytics Engineer

Role Overview

The Lead Data Analytics Engineer is a senior technical leadership role responsible for advancing Enterprise Data Modelling, Analytics Automation and Engineering Empowerment across Global Analytics.

What You Will Do

Lead the enterprise approach to analytical data modelling, establish reusable modelling patterns, reduce duplication, and improve the performance, scalability, and maintainability of analytical models.

Why It Might Be a Fit

The role requires a hands-on, outcome-driven engineering leader who leads from the front by designing, building, and delivering solutions, with experience in data modelling, Snowflake, dbt, and SQL, and a strong technical leadership experience.

Requirements

• 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.
• An individual contributor mindset: equally comfortable defining strategy and implementing it through working code, prototypes, and production-ready solutions.

Benefits

• Competitive reward package
• Support for financial, physical, and mental wellbeing
• Opportunities to learn, develop, and be recognised for the contribution you make

Tagged as: Data Analysis