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Senior Data Engineer

Vimdesign

London

On-site

GBP 70,000 - 120,000

Full time

3 days ago
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Job summary

A leading health & wellness company is looking for a Senior Data Engineer to join their Data & Analytics team in London. The role focuses on building and scaling data solutions on AWS, requiring strong technical skills in data engineering, leadership, and teamwork. With opportunities for career development and an emphasis on mentoring, this position plays a key role in transforming data into actionable insights for the company's strategic goals.

Benefits

Pension company contribution = 3%
Incentive scheme up to 10% of annual salary
33 Days Holiday per year
Private Medical Care after 1 year
Career progression opportunities
25% discount on products from day one
Free 24/7 Confidential Advice & Colleague Welfare
Onsite Gym at Nuneaton Hub

Qualifications

  • Strong experience with AWS services (Glue, Lambda, etc.) is essential.
  • Proficient in Python development.
  • Hands-on experience in CI/CD processes.

Responsibilities

  • Design and develop scalable data pipelines and services.
  • Lead technical discussions and mentor junior engineers.
  • Drive observability across data platforms.

Skills

AWS Glue
Python
Docker
CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
AWS CloudFormation

Job description

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About The Role

We're looking for a

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.

Key Requirements

Why Holland & Barrett?

  • Must-Have:
  • Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB.
  • Strong Python development skills.
  • Proficient with Docker, containerization, and virtualization.
  • Hands-on experience with CI/CD, especially GitLab CI.
  • Solid experience with Infrastructure as Code (Terraform, CloudFormation, or AWS SAM).
  • Demonstrated ability to own and operate services in production.
  • Good to Have:
  • Experience with Scala for data applications.
  • Familiarity with serverless/event-driven architectures.
  • Experience designing scalable, low-latency data services.
  • Exposure to Datadog or CloudWatch monitoring tools.
  • Nice to Have:
  • Experience with LLM-powered applications or OpenAI APIs.
  • Professional experience in a similar environment or high-scale system.

We're transforming into a data-first health & wellness company. Data is a strategic pillar in this journey, and this role is central to building scalable infrastructure for advanced analytics, decision support, and customer experience initiatives.

Ready to Apply?

We'd love to hear from experienced data engineers who enjoy solving complex problems, mentoring others, and building systems that matter.

What We Offer

  • Pension company contribution = 3%
  • Incentive scheme up to 10% of annual salary, based on company performance.
  • Your wellbeing is paramount so you can get away and take 33 Days Holiday per year.
  • Learning and Development opportunity with Holland & Barrett is a great base for career development long term.
  • Private Medical Care (Self after 1 year)
  • Career progression.
  • Refer and Earn Scheme - as we're growing you can earn money by referring people to join us from your network.
  • Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers.
  • Stay healthy with Discounted Products - from day one you'll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy.
  • We all need a little help sometimes, so weoffer Free 24/7 Confidential Advice & Colleague Welfare.
  • Mental Health First Aiders - we have lots of qualified Mental Health First Aiders because its all about your health & wellbeing.
  • Stay active in the Onsite Gym at our Nuneaton Hub!
  • We have colleague Reward and Recognition Schemes, so your hard work and loyalty won't go unnoticed.
  • And many more!

Our culture respects equality, values diversity and encourages individuality because this allows our people to unlock their potential and be their best. We welcome everyone who shares our EPIC values regardless of background, culture, disability, ethnicity, gender identity or sexual orientation

Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s).

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Data Infrastructure and Analytics

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