Data is the beating heart at Holland & Barrett. Our data teams - comprised of Data Engineering, Data Warehousing, BI, Data Science and Product Analytics - are essential to enabling H&B's vision of becoming the world's leader in personalised wellness journeys.

We're looking for an Associate Data Engineer to join the Data & Analytics team at Holland & Barrett. This is an entry-level role where you'll start your career in data engineering, learning how to design ,build, and support modern data solutions on AWS.

You'll work closely with cross-functional teams including Data Science, BI, and Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics, machine learning and AI services. You'll be part of a collaborative and supportive environment, reporting to the Senior Data Engineering Manager, with clear opportunities for professional growth as you help us build high-impact data platforms for the world's leading health & wellness retailer.

• Support the development and maintenance of scalable data pipelines and services using AWS (Glue, Lambda, Step Functions, S3, Athena).
• Write clean, well-documented code in Python or another modern programming language.
• Assist with infrastructure deployments using infrastructure-as-code tools such as Terraform or CloudFormation.
• Contribute to CI/CD pipelines and development workflows using GitLab CI.
• Help monitor, maintain, and improve data platforms using tools like CloudWatch or Datadog.
• Collaborate with Data Science, BI, and Analytics teams to deliver secure, reliable data solutions.

Location
This role is based in London, with the requirement to be in the office at least two days per week.

Essential

• Programming skills in Python or another modern language (Java, Scala, Go, etc.).
• Good understanding of data structures, algorithms, and software engineering fundamentals
• Working knowledge of SQL.
• Strong communication skills and ability to work collaboratively in a remote friendly team.
• A proactive mindset with a genuine eagerness to learn and develop.

Desirable

• Exposure to AWS services (S3, Lambda, Glue, Athena, Redshift, DynamoDB).
• Familiarity with CI/CD concepts, version control, containerisation tools and orchestration tools (e.g. Airflow)

✨ Nice to Have on your CV
Academic, internship, or project experience in cloud or data engineering.
Familiarity with serverles/event-driven architectures.
Interest in building data services and exploring new technologies.

Wellbeing & Lifestyle Benefits 

• 33 days holidays including bank holiday
• Health Cash Plan  
• Life Assurance
• Incentive Scheme - Based on company & personal performance
• Virtual GP 
• Private Medical care
• FREE at-home blood test kit 
• Holiday Purchase option 
• Pension Contribution scheme
• Access to ‘Wellhub' with gyms, studios and wellbeing apps 

Discounts & Savings 

• 25% Colleague Discount with FREE Standard Delivery 
• Exclusive Discounts from a wide range of partners 
• £/€50 Annual Product Allowance to spend in store 

Learning & Development 

• Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library 
• AND MORE! 

Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:

• A short Coderbyte assessment to evaluate core technical and analytical skills
• Role-specific questions to understand your approach to relevant challenges
• An interview with the Hiring Manager to explore your experience and motivations
• A case study to demonstrate problem-solving and strategic thinking
• A follow-up review to delve deeper into your insights and approach
• Short conversations with team members to assess team fit and working style

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