At a Glance
- Tasks: Build data pipelines and dashboards to transform grocery data into actionable insights.
- Company: Join a modern grocery franchise focused on innovation and operational excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI and cutting-edge technology.
- Why this job: Make a real impact by turning data into decisions that drive business success.
- Qualifications: 5+ years in data engineering/analytics, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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, Git Hub, projects) to hr@morgansholding. com .
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.
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Senior Data Engineer / Analyst employer: Morgansgrocer
Morgansgrocer is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in DevOps can truly shine. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that values work-life balance and encourages creativity in solving complex challenges.
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We think this is how you could land Senior Data Engineer / Analyst
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We think you need these skills to ace Senior Data Engineer / Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
