Data Engineer (Azure)

<h3 style="text-align:center;"><strong>Why Keyrus, Why Now!</strong></h3><p>Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: <strong>AI does not transform businesses. Architected intelligence does.</strong></p><p>For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: <strong>we operationalise intelligence.</strong></p><p>AI does not replace humans. It repositions us to a place no system can follow: <strong>understanding, deciding, designing, and creating.</strong></p><p>At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.</p><p>Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a <strong>Keyrus Architect of Intelligence.</strong></p><p><strong>Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.</strong></p><p></p><h3><strong>Role Details</strong></h3><p><span>📍</span> <strong>Job location:</strong> Carnaxide, Lisbon, Portugal (Hybrid – 3 days/week onsite)<br><span>🕒</span> <strong>Contract type:</strong> Employee<br><span>🗓</span> <strong>Target start date:</strong> October <br><span>⏰</span> <strong>Working hours:</strong> Full-time (40h/week)<br><span>💵</span> <strong>Compensation:</strong> 30K to 35K gross per year</p><p></p><h4><span><strong>📋</strong></span><strong> What You'll Architect</strong></h4><p><span>As a <strong>Data Engineer</strong>, you will be responsible for designing, developing, maintaining, and evolving data processes that transform data from operational systems into reliable and valuable data products for the business.</span></p><p><span>You will work across the full data engineering lifecycle — from building pipelines that support dashboards and business reporting to integrating data with downstream systems and maintaining the processes that feed the company's data warehouses.</span></p><p><span>This is a hands-on role for someone who enjoys both <stron