<div class="external-paneltrix-content external-paneltrix-content--colored external-panel_trix-content--lead-in" id="external-jobs-show-description"><script type="application/json" id="js-react-on-rails-context">{"railsEnv":"production","inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","rorVersion":"13.0.2","rorPro":false,"href":"https://careers.elemis.com/en/postings/0c74a74e-94c5-4f97-a95e-4135edc2a904","location":"/en/postings/0c74a74e-94c5-4f97-a95e-4135edc2a904","scheme":"https","host":"careers.elemis.com","port":null,"pathname":"/en/postings/0c74a74e-94c5-4f97-a95e-4135edc2a904","search":null,"httpAcceptLanguage":"en-US,en;q=0.9","serverSide":false}</script><div id="External::Careerspage::Renderrichtrixcontent-react-component-e9594b8a-2bb7-4716-b404-f9d5f0bfbb89"><div><div><!--block-->The Elemis Data Engineering team is on a transformative journey—modernising our data ecosystem by evolving from a legacy data warehouse into a centralised Microsoft Fabric Medallion architecture. This isn't a simple lift-and-shift; it’s a thoughtful, iterative rebuild focused on long-term scalability, agility, and value.&nbsp;<br><br></div><div><!--block-->We operate in a fast-paced, responsive environment where source systems are actively evolving and new technologies are regularly being explored. Despite the pace, we take a methodical MVP-first approach to ensure everything we build aligns with the core pillars of our team: <strong>Robust</strong>, <strong>Timely</strong>, and <strong>Trusted</strong> data.&nbsp;<br><br></div><div><!--block-->Our mission is clear: enable Elemis to become a truly data-driven business and help shape the future of our global success through scalable, governed, and well-architected data products.&nbsp;<br><br></div><div><!--block-->We’re now looking for a <strong>Data Engineer</strong> to join our collaborative and friendly sprint team—working alongside a Senior Engineer, another Engineer, our Contract Principal, and our strategic data partner, Data Pulse. This is an exciting opportunity to contribute to a high-impact, technically strong, and values-led team where knowledge sharing and continuous learning are part of our DNA.&nbsp;</div><div><!--block-->&nbsp;<br><br><em>This is a full time (37.5 hour per week) permanent role. This role is based in our Avonmouth (near Bristol) offices. We offer Hybrid working which means we are in the office three days per week, and Working From Home two days per week. We also offer flexible working, with core hours between 10am - 4pm.&nbsp; </em><br><br></div></div></div><script type="application/json" class="js-react-on-rails-component" data-component-name="External::Careerspage::Renderrichtrixcontent" data-dom-id="External::Careerspage::Renderrichtrixcontent-react-component-e9594b8a-2bb7-4716-b404-f9d5f0bfbb89">{"htmlString":"\u003cdiv\u003e\n\u003c!--block--\u003eThe Elemis Data Engineering team is on a transformative journey—modernising our data ecosystem by evolving from a legacy data warehouse into a centralised Microsoft Fabric Medallion architecture. 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class="external-definition-list hide-at-sm-block" id="external-jobs-show-meta-mobile"><dt class="pinpoint-job-sidebar--department">Department</dt><dd class="pinpoint-job-sidebar--department">IT Support, Infrastructure &amp; Security</dd><dt class="pinpoint-job-sidebar--employmenttype">Employment Type</dt><dd class="pinpoint-job-sidebar--employmenttype">Permanent - Full Time</dd><dt class="pinpoint-job-sidebar--location">Location</dt><dd class="pinpoint-job-sidebar--location">Office, Avonmouth/Filton</dd><dt class="pinpoint-job-sidebar--workplace-type">Workplace type</dt><dd class="pinpoint-job-sidebar--workplace-type">Hybrid</dd></dl><h2 class="external-panelheading" id="responsibilities-heading">Key Responsibilities</h2><div class="external-paneltrix-content external-paneltrix-content--colored" id="responsibilities-body"><div id="External::Careerspage::Renderrichtrixcontent-react-component-2ffa798f-1ba2-4341-bb01-fef7eca8e355"><div><ul><li><!--block-->Design, build, and maintain scalable data pipelines using <strong>PySpark</strong>, <strong>SQL</strong>, and modern cloud data technologies.</li><li><!--block-->Extract and integrate data from a variety of sources—including APIs and external systems—into well structured, <strong>star schema</strong> data models that support analytics and reporting.</li><li><!--block-->Collaborate across cross functional teams to translate business requirements into high quality data solutions.</li><li><!--block-->Troubleshoot and optimise existing data pipelines, ensuring performance, reliability, and data quality.</li><li><!--block-->Develop and maintain reusable data tests, alerting mechanisms, and monitoring frameworks that uphold the team’s commitment to <strong>robust and trusted</strong> data.</li><li><!--block-->Contribute to documentation, standards, and best practices that strengthen the data engineering function and support future growth.&nbsp;</li><li><!--block-->&nbsp;Sustainability Responsibility: <br>At Elemis, 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class="external-panelheading" id="skills-heading">Skills, Knowledge and Expertise</h2><div class="external-paneltrix-content external-paneltrix-content--colored" id="skills-body"><div id="External::Careerspage::Renderrichtrixcontent-react-component-c5fa47cc-9ede-4264-afa8-b4ce37452fd4"><div><div><!--block-->This role requires a blend of technical depth, practical execution, and collaborative spirit. 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