About this role

Section: Overview

Section: What you will do

Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics.
Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability.
Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products.

Section: What is required

4+ years of experience in analytics engineering or data engineering with a strong focus on the “T” (transformation) in ELT.
Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models.
Comfortable working with ambiguity and collaborating with stakeholders to define requirements.

Section: Actions to take

Staff Analytics Engineer