Senior Data Engineer / Analyst

MorgansTek; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Morgan’s Tek in the United Kingdom is seeking a data engineer to build pipelines and dashboards that turn grocery data into actionable insights for cutting waste and growing the business.

You will design ETL/ELT pipelines, build real-time dashboards for sales, stock and delivery, and partner with AI teams to feed models with clean data.

The role requires strong SQL and Python, experience with data warehouses, and a clear communicator who can explain data to non-technical stakeholders.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

ETL/ELT

Data warehousing

Dashboarding

Communication

Education

Bachelor's degree in Computer Science

Tools

Airflow

dbt

Job description

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.

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