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- Tasks: Support 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 growth.
- Why this job: Make an impact in data engineering while learning cutting-edge technologies.
- Qualifications: Programming skills in Python and understanding of data structures required.
- Other info: Collaborative, remote-friendly team with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ 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.
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 & Barrett
Contact Detail:
Holland & 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! Prepare a mini-project or a portfolio that highlights your programming abilities in Python and your understanding of AWS services. This will give you something tangible to discuss during interviews and show that you're proactive.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering, SQL, and CI/CD concepts. Mock interviews with friends or using online platforms can help you nail your responses and boost your confidence.
✨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 Application: Make sure to customise your CV and cover letter for the Associate Data Engineer role. Highlight your programming skills in Python and any experience with AWS services, as these are key to what we're looking for.
Show Off Your Projects: If you've worked on any relevant projects or internships, don’t hold back! Share them in your application. We love seeing practical examples of your skills, especially in data engineering and cloud technologies.
Keep It Clear and Concise: When writing your application, aim for clarity. Use straightforward language and avoid jargon unless it's relevant. We appreciate well-documented code, so think of your application as a chance to showcase that skill!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Holland & Barrett!
How to prepare for a job interview at Holland & Barrett
✨Know Your Tech Stack
Make sure you brush up on your knowledge of AWS services like Glue, Lambda, and S3. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Show Off Your Coding Skills
Prepare to write some clean, well-documented code during the interview. Practise coding challenges in Python or another modern language, and be ready to explain your thought process as you solve problems.
✨Understand CI/CD and Infrastructure as Code
Familiarise yourself with CI/CD concepts and tools like GitLab CI. Be prepared to discuss how you've contributed to development workflows and any experience you have with infrastructure-as-code tools like Terraform.
✨Communicate and Collaborate
Since this role involves working closely with Data Science and BI teams, practice articulating your ideas clearly. Highlight any past experiences where you successfully collaborated with others, especially in a remote-friendly environment.
