<div class="earcuposdescription"><div class="earcuposdescriptiontitle">About Data at Holland &amp; Barrett</div><div class="earcuposdescriptionnote"><p><span style="font-family: Calibri, sans-serif; font-size: 11pt;">Data is the beating heart at Holland &amp; Barrett. Our data teams - comprised of Data Engineering, Data Warehousing, BI, Data Science and Product Analytics - are essential to enabling H&amp;B's vision of becoming the world's leader in personalised wellness journeys.</span></p><p>We're looking for an Associate Data Engineer to join the Data &amp; Analytics team at Holland &amp; 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.</p><p>You'll work closely with&nbsp;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 &amp; wellness retailer.</p></div></div><div class="earcuposdescription"><div class="earcuposdescriptiontitle">The Role</div><div class="earcuposdescriptionnote"><ul><li data-start="743" data-end="876">Support the development and maintenance of scalable data pipelines and services using AWS (Glue, Lambda, Step Functions, S3, Athena).</li><li data-start="879" data-end="962">Write clean, well-documented code in Python or another modern programming language.</li><li data-start="965" data-end="1075">Assist with infrastructure deployments using infrastructure-as-code tools such as Terraform or CloudFormation.</li><li data-start="1078" data-end="1150">Contribute to CI/CD pipelines and development workflows using GitLab CI.</li><li data-start="1153" data-end="1243">Help monitor, maintain, and improve data platforms using tools like CloudWatch or Datadog.</li><li data-start="1246" data-end="1344">Collaborate with Data Science, BI, and Analytics teams to deliver secure, reliable data solutions.</li></ul><p><strong data-start="1346" data-end="1358">Location</strong><br data-start="1383" data-end="1386">This role is based in London, with the requirement to be in the office at least <strong data-start="1466" data-end="1487">two days per week</strong>.</p></div></div><div class="earcuposdescription"><div class="earcuposdescriptiontitle">The Person</div><div class="earcuposdescriptionnote"><p data-start="1520" data-end="1533"><strong data-start="1520" data-end="1533">Essential</strong></p><ul><li data-start="1536" data-end="1619">Programming skills in Python or another modern language (Java, Scala, Go, etc.).</li><li data-start="1536" data-end="1619">Good&nbsp;understanding of data structures, algorithms, and software engineering fundamentals</li><li data-start="1536" data-end="1619">Working knowledge of SQL.</li><li data-start="1622" data-end="1690">Strong communication skills and ability to work collaboratively in a remote friendly team.</li><li data-start="1770" data-end="1836">A proactive mindset with a genuine eagerness to learn and develop.</li></ul><p data-start="1838" data-end="1851"><strong data-start="1838" data-end="1851">Desirable</strong></p><ul><li data-start="1854" data-end="1926">Exposure to AWS services (S3, Lambda, Glue, Athena, Redshift, DynamoDB).</li><li data-start="1929" data-end="2005"><span data-teams="true">Familiarity with CI/CD concepts, version control, containerisation tools and orchestration tools (e.g. Airflow)</span></li></ul><p>✨ Nice to Have on your CV<br>Academic, internship, or project experience in cloud or data engineering.<br>Familiarity with serverles/event-driven architectures.<br>Interest in building data services and exploring new technologies.</p></div></div><div class="earcuposdescription"><div class="earcuposdescriptiontitle">Benefits</div><div class="earcuposdescriptionnote"><p><strong>Wellbeing &amp; Lifestyle Benefits</strong>&nbsp;</p><ul><li>33 days holidays including bank holiday</li><li>Health Cash Plan&nbsp;&nbsp;</li><li>Life Assurance</li><li>Incentive Scheme - Based on company &amp; personal performance</li><li>Virtual GP&nbsp;</li><li>Private Medical care</li><li>FREE at-home blood test kit&nbsp;</li><li>Holiday Purchase option&nbsp;</li><li>Pension Contribution scheme</li><li>Access to ‘Wellhub' with gyms, studios and wellbeing apps&nbsp;</li></ul><p><strong>Discounts &amp; Savings</strong>&nbsp;</p><ul><li>25% Colleague Discount with FREE Standard Delivery&nbsp;</li><li>Exclusive Discounts from a wide range of partners&nbsp;</li><li>£/€50 Annual Product Allowance to spend in store&nbsp;</li></ul><p><strong>Learning &amp; Development</strong>&nbsp;</p><ul><li>Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library&nbsp;</li><li>AND MORE!&nbsp;</li></ul></div></div><div class="earcuposdescription"><div class="earcuposdescriptiontitle">Our Recruitment Process</div><div class="earcu_posdescriptionnote"><p>Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:</p><ul><li>A short Coderbyte assessment to evaluate core technical and analytical skills</li><li>Role-specific questions to understand your approach to relevant challenges</li><li>An interview with the Hiring Manager to explore your experience and motivations</li><li>A case study to demonstrate problem-solving and strategic thinking</li><li>A follow-up review to delve deeper into your insights and approach</li><li>Short conversations with team members to assess team fit and working style</li></ul><p><span style="font-family: Calibri, sans-serif; font-size: 11pt;">#LI-Hybrid<br>#LI-CM1<br></span></p></div></div>