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Data Engineer (Customer)

Thehutgroup · Manchester

<div class="content-intro">About THG  We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.  Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.  From Manchester to New York, we’re powered by a team of over 2500 people who work together, lead by example, and think BIG.   With us, you’ll go further, faster. What are you waiting for? </div>Location: Icon 1, WA15 0AF About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be a Data Engineer (Customer) at THG?  As a Data Engineer in the Customer domain, you will support the build and maintenance of the pipelines and data assets that power customer analytics at THG. This is one of two Data Engineer roles in the Customer domain — working closely with the Senior Data Engineer and your fellow Data Engineer to deliver a reliable, well-structured customer data layer that enables analytics across our Beauty and Nutrition businesses. What you'll do: Engineering Delivery <ul> <li>Build and maintain data pipelines in the Customer domain under the direction of the Senior Data Engineer</li> <li>Write clean, well-documented SQL and Python code that meets the team’s standards</li> <li>Support the monitoring and resolution of pipeline issues</li> <li>Contribute to data quality checks and validation in the Customer domain</li> </ul> Learning & Development <ul> <li>Develop your understanding of the Customer data domain — CRM, acquisition, identity and marketing data flows</li> <li>Learn and apply engineering best practices</li> <li>Take on increasing responsibility over time</li> </ul> Collaboration <ul> <li>Work closely with both Data Engineers and the Senior Data Engineer in the Customer team</li> <li>Support analytics teams with data requests and pipeline queries</li> </ul> What skills and experience do I need for this role? Essential <ul> <li>Some experience or strong foundational knowledge in data engineering — Python and SQL are essential</li> <li>Understanding of data pipeline concepts</li> <li>Curiosity and drive to develop as a data engineer</li> <li>Attention to detail and commitment to accurate, reliable work</li> <li>Ability to work collaboratively within a small team</li> </ul> <str

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