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 hr@morgansholding.com.