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ocadogroup · Hatfield
<p><iframe src="https://www.youtube.com/embed/bY0nNPT75xY" width="560" height="314"></iframe></p> <p><strong>Data Engineer (Modelling & Transformation)| Hybrid Working | Hatfield</strong></p> <p><strong></strong></p> <p data-path-to-node="2"><strong data-path-to-node="2" data-index-in-node="0">Introduction:</strong></p> <p data-path-to-node="2">We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.</p> <p id="p-rc_ed609c6a5ee7893e-248" data-path-to-node="3"><span data-path-to-node="3,0"><strong data-path-to-node="3,0" data-index-in-node="0">About the Role:</strong></span></p> <p data-path-to-node="3"><span data-path-to-node="3,0">As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology</span><span data-path-to-node="3,1"><sup class="superscript"></sup></span><span data-path-to-node="3,2">. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation</span><span data-path-to-node="3,3"><sup class="superscript"></sup></span><span data-path-to-node="3,4">.</span> </p> <p id="p-rc_ed609c6a5ee7893e-249" data-path-to-node="4"><span data-path-to-node="4,0">Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks</span><span data-path-to-node="4,1"><sup class="superscript"></sup></span><span data-path-to-node="4,2">. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers</span><span data-path-to-node="4,3"><sup class="superscript"></sup></span><span data-path-to-node="4,4">.</span> </p> <p data-path-to-node="5"><strong data-path-to-node="5" data-index-in-node="0">Key Responsibilities:</strong></p> <ul data-path-to-node="6"> <li> <p id="p-rc_ed609c6a5ee7893e-250" data-path-to-node="6,0,0"><span data-path-to-node="6,0,0,0">Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products</span><span data-path-to-node="6,0,0,1"><sup class="superscript"></sup></span><span data-path-to-node="6,0,0,2">.</span> </p> </li> <li> <p id="p-rc_ed609c6a5ee7893e-251" data-path-to-node="6,1,0"><span data-path-to-node="6,1,0,0">Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions</span><span data-path-to-node="6,1,0,1"><sup class="superscript"></sup></span><span data-path-to-node="6,1,0,2">.</span> </p> </li> <li> <p id="p-rc_ed609c6a5ee7893e-252" data-path-to-node="6,2,0"><span data-path-to-node="6,2,0,0">Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs</span><span data-path-to-node="6,2,0,1"><sup class="superscript"></sup></span><span data-path-to-node="6,2,0,2">.</span> </p> </li> <li> <p id="p-rc_ed609c6a5ee7893e-253" data-path-to-node="6,3,0"><span data-path-to-node="6,3,0,0">Develop and maintain reusable data transformation logic using modern software engineering best practices</span><span data-path-to-node="6,3,0,1"><sup class="superscript"></sup></span><span data-path-to-node="6,3,0,2">.</span> </p> </li> <li> <p id="p-rc_ed609c6a5ee7893e-254" data-path-to-node="6,4,0"><span data-path-to-node="6,4,0,0">Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability</span><span data-path-to-node="6,4,0,1"><sup class="superscript"></sup></span><span data-path-to-node="6,4,0,2">.</span> </p> </li> <li> <p id="p-rc_ed609c6a5ee7893e-255" data-path-to-node="6,5,0"><span data-path-to-node="6,5,0,0">Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets</span><span data-path-to-node="6,5,0,1"><sup class