Build the pipelines and dashboards that turn our grocery data - sales, stock, delivery, and even in-store customer movement - into decisions that cut waste and grow the business.
What you'll work on
- Pipelines from the shopping app, point-of-sale, and store systems
- Real-time dashboards for sales, stock, and delivery
- Behavioural data from in-store customer movement
- Datasets and features that feed 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, with experience in 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.
To apply
Send your CV and anything that shows your work (portfolio, GitHub, projects) to .
Morgan's grocer is a franchise model for investors and operators who want a modern grocery format with brand standards, operational guidance, and a scalable store blueprint.