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For Companies At a Glance
- Tasks: Support the development of scalable data pipelines and services using AWS.
- Company: Join Holland & Barrett, a leader in personalised wellness journeys.
- Benefits: 33 days holiday, wellbeing perks, and opportunities for professional growth.
- Why this job: Kickstart your data engineering career in a collaborative and innovative environment.
- Qualifications: Programming skills in Python and a proactive mindset to learn.
- Other info: Work in London with flexible remote options and great team support.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About Data at Holland & Barrett. 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.
The Role
- 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.
The Person
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 serverless/event‑driven architectures.
- Interest in building data services and exploring new technologies.
Benefits
Wellbeing & Lifestyle Benefits 33 days holidays including
Associate Data Engineer in London employer: Holland and Barrett
Contact Detail:
Holland and Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Holland & Barrett on LinkedIn. Ask them about their experiences and any tips they might have for landing the Associate Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects or any data engineering work, make sure to highlight it during interviews. It’s a great way to demonstrate your coding chops and passion for data.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of AWS services and SQL. Practising common data engineering scenarios can help you feel more confident when discussing your problem-solving approach in interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Holland & Barrett.
We think you need these skills to ace Associate Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Associate Data Engineer role. Highlight any programming skills in Python, SQL knowledge, and any relevant projects or internships you've done.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific AWS services or tools you're familiar with, and show us your eagerness to learn and grow.
Showcase Your Projects: If you've worked on any data-related projects, whether academic or personal, make sure to include them. We love seeing practical applications of your skills, especially if they involve cloud technologies or data pipelines.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Holland and Barrett
✨Know Your Tech
Make sure you brush up on your programming skills, especially in Python. Be ready to discuss data structures and algorithms, as well as any experience you have with AWS services like S3 or Lambda. Showing that you understand the technical requirements of the role will impress the interviewers.
✨Show Your Collaborative Spirit
Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and any experiences where teamwork led to a successful project outcome.
✨Demonstrate Your Eagerness to Learn
Holland & Barrett values a proactive mindset, so express your enthusiasm for learning new technologies and improving your skills. Share any relevant projects or experiences that showcase your willingness to dive into new challenges, especially in cloud or data engineering.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you determine if it's the right fit for you.
