Data runs through everything we do — sales, inventory, delivery, and even in-store customer movement. You’ll build the pipelines and dashboards that turn all of it into insight people can act on.

What you’ll work on

• Pipelines pulling from apps, point-of-sale, and third-party sources
• Real-time dashboards covering sales, inventory, and delivery
• Behavioural data from in-store customer movement
• Datasets and features that feed our forecasting and AI models

What you’ll do

• Design and maintain reliable ETL/ELT pipelines from many sources into clean, usable data.
• Build dashboards and reports that give teams a real-time, 360-degree view of operations.
• Model data for forecasting, segmentation, and behavioural analysis.
• Partner with the AI team to feed models the right data.
• Turn messy questions into clear, evidence-based answers.

What we’re looking for

• 5+ years in data engineering and/or analytics on production systems.
• Strong SQL and Python, and experience with data warehouses and pipeline tooling.
• Able to both build the plumbing and interpret what the numbers mean.
• Comfortable using AI tools to speed up analysis and tooling.
• Clear communicator who can make data understandable to non-technical people.

The setup

• Full-time · Fully remote · Senior level (5+ years) · You’ll partner with engineering and the AI team across the data lifecycle.