Data Modeller - Retail - Suffolk OR West Midlands

JR United Kingdom; Burton-on-Trent; Hybrid; GBP 40,000 - 65,000; Full time

Job summary

A leading company is seeking a skilled Data Modeller to join their Digital, Data & AI team. This role involves designing and maintaining data models to enhance digital transformation efforts. The ideal candidate should possess strong technical skills and a collaborative mindset, ensuring that business data is effectively managed and utilized.

Qualifications

• Strong experience with data modelling tools and techniques.
• Ability to translate business needs into technical data models.
• Excellent collaboration and communication skills.

Responsibilities

• Design and maintain high-quality data models.
• Support digital transformation by structuring and governing data.
• Deliver data solutions that align with business goals.

Skills

Data modeling

Database design

Data governance

Analytical mindset

Collaboration

Tools

Microsoft Azure

Databricks

Job description

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Data Modeller - Retail - Suffolk OR West Midlands, Burton upon Trent

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Client:

Location:

Burton upon Trent, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Location: Burton upon Trent or Bury St Edmunds (Hybrid - 2-3 days/week in office)
Function: IT / Digital & Data
Career Level: Senior Professional
Type: Full-time
About the Role

We're looking for a Data Modeller to join our dynamic Digital, Data & AI team. In this role, you'll design and maintain high-quality conceptual, logical, and physical data models that drive value and enable the organisation to fully leverage its data assets. You will play a key part in supporting our digital transformation by ensuring data is structured, governed, and modelled to meet the highest standards.

This is a fantastic opportunity for a data professional with strong technical expertise and a passion for delivering data solutions that align with business goals.

What We're Looking For

• Proficiency in creating and maintaining complex data models
• Strong experience with data modelling tools and techniques
• Expertise in database design and understanding of relational and non-relational database systems
• Knowledge of data governance, data quality, and metadata management practices
• Familiarity with Microsoft Azure and Databricks environments
• Ability to clearly translate business needs into technical data models
• Analytical mindset with a logical approach to problem-solving
• Excellent collaboration and communication skills