MM Flowers
Data Engineer
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Job Description:
Data Engineer
MM Flowers | Alconbury Weald, Huntingdon
Full Time | 40 hours per week | Monday to Friday
About MM Flowers
MM Flowers is a leading supplier of fresh cut flowers and bouquets to the UK and European retail market. Behind the flowers is a fast-paced, complex operation powered by great people, technology, data, and innovation.
As we continue our digital transformation, we’re investing in our technology and data capabilities to help us make better decisions, improve performance, and support the future growth of our business.
We’re now looking for an experienced Data Engineer to join our IT team and help shape the future of data at MM Flowers.
The Opportunity
Reporting to the Data Manager, you’ll play a key role in designing, building, and improving the data platforms and infrastructure that support financial and operational insight across our business.
This is a hands-on technical role where you’ll work with data from multiple systems and sources, using technologies including Microsoft Fabric, Azure, Python, SQL, and Power BI to create reliable, scalable, and maintainable data solutions.
You’ll be involved in major technology and transformation projects, from developing new data pipelines and integrating data sources to improving existing solutions and solving complex technical challenges.
If you enjoy building things, solving problems, and using modern cloud data technologies to make a tangible difference, this could be a great next step.
What You’ll Be Doing
As our Data Engineer, you’ll:
- Design, build, and operate ELT/ETL data pipelines using Microsoft Fabric
- Design and develop data solutions using Medallion Architecture – Bronze, Silver, and Gold
- Develop, optimize, and maintain complex SQL queries for reporting and analytics
- Integrate data from multiple internal and external sources
- Manage and optimize lakehouses, warehouses, and associated storage
- Implement data quality, testing, and observability processes
- Help ensure our data is accurate, reliable, compliant, and trusted by the business
- Support data lineage and well-documented transformation logic
- Enable effective self-service analytics
- Monitor performance and identify opportunities to improve our data infrastructure
- Troubleshoot incidents, undertake root-cause analysis, and deploy effective fixes
- Contribute to CI/CD practices, documentation, and engineering standards
- Work closely with IT colleagues and stakeholders across the wider business
- Continuously identify opportunities to improve our technology, processes, and ways of working
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What We’re Looking For
We’re looking for an experienced Data Engineer who combines strong technical capability with curiosity and a practical approach to problem-solving.
Ideally, you’ll have:
- At least 5 years' experience across data engineering, data analytics, and/or Business Intelligence
- Strong Python and SQL skills
- Excellent knowledge of Microsoft Fabric and Power BI Service
- Experience building and operating data pipelines within Azure, including ADF, Synapse, and Fabric
- Strong understanding of Spark
- Experience working with complex datasets where structure, consistency, and quality can vary
- Experience delivering technology projects in a fast-paced organization
- Knowledge of version control, Azure DevOps, and CI/CD best practices
- Understanding of Infrastructure-as-Code tools such as Terraform
- Knowledge of identity and secrets management and cloud cost optimization
- Understanding of information management principles and Master Data Management (MDM)
- Experience developing solutions with ongoing supportability, scalability, and maintainability in mind
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About You
Technical expertise is important, but we’re also looking for someone who is curious, proactive, and enjoys getting to the root of a problem.
You’ll be:
- A strong analytical thinker and problem solver
- Confident communicating with both technical and non-technical stakeholders
- Proactive and comfortable using your own initiative
- Collaborative and able to work effectively across different teams
- Highly organized with excellent attention to detail
- Comfortable working in a fast-paced and changing environment
- Self-motivated with a logical and practical approach
Location & Hours
This role is based at our Alconbury Weald site in Huntingdon, with occasional travel to other MM Flowers locations as required.
You'll work 40 hours per week, Monday to Friday. Some out-of-hours support may occasionally be required, particularly during our key peak trading periods.
Why Join MM Flowers?
This is an exciting time to join MM Flowers as we continue to transform our technology and data landscape.
You’ll have the opportunity to work with modern cloud data technologies, contribute to significant transformation projects, and help shape how data is used across a complex international business.
This isn't simply a role maintaining what already exists. We want someone who can improve, challenge, and build.
You’ll have the opportunity to use your experience to help create the scalable, trusted data foundations that will support the future of MM Flowers.
If you’re an experienced Data Engineer looking for your next challenge, we’d love to hear from you. Apply today to join MM Flowers.
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