ABOUT THE ROLE:

We’re looking for a Senior Data Engineer to join the Data & Analytics team at Holland & Barrett. This is a high-impact, mid-seniority role within our growing data function, where you’ll design, build, and scale modern data solutions on AWS. You’ll work closely with cross-functional teams including Data Science, BI, and Product Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics and machine learning.
As a Senior Engineer, you’ll not only deliver code — you’ll take ownership, lead small teams, mentor others, and contribute to shaping our engineering culture and best practices.
You’ll join a team of 10 Data Engineers, reporting to the Senior Data Engineering Manager. You’ll work alongside Associates, Mid-level Engineers, and Senior/Principal engineers.

WHAT YOU’LL DO:

• Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more.
• Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI).
• Write clean, production-grade code in Python (Scala is a bonus).
• Build infrastructure using Terraform, AWS CloudFormation, or SAM.
• Drive observability across the platform using Datadog or CloudWatch.
• Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions.