About the role
Lead analytics engineering initiatives to deliver scalable data models.
- •As a Lead Analytics Engineer, you'll shape how data is modelled, governed, and consumed across the business.
- •You'll work closely with stakeholders to deliver scalable, trusted, and actionable data.
- •Key Responsibilities Lead analytics engineering initiatives across business domains.
- •Own the delivery of scalable data models and datasets.
- •Partner with stakeholders to define requirements and shape solutions.
- •Design and implement scalable, reusable data models using dbt and Snowflake.
- •Act as a technical leader for analytics engineering, promoting best practices.
- •Requirements Extensive experience in analytics engineering, data modelling, or related data disciplines.
- •Advanced SQL expertise, including complex data modelling, transformation, and performance optimisation.
- •Strong experience designing and maintaining scalable data models using dbt.
Tech stack
SQLdbtSnowflakePython
Match insights
Tech:SQL, dbt, Snowflake, Python
Level:Lead