Job Opportunities API

Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. 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: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. 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. 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 Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role Details 📍 Job location: Remote (Portugal-based) 🕒 Contract type: Employee or B2B Contractor 🗓 Target start date: July 2026 ⏰ Working hours: Full-time 💵 Compensation: 45k gross year to 55k gross year / or B2B up to 350 euros/day 📋 What You'll Architect As a Senior Data Engineer expert in Azure Databricks , you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. This role is both technical and consultative — perfect for someone who can combine hands-on data engineering , cloud platform expertise , and solution design to deliver strategic Data & AI initiatives. We're looking for professionals who think like architects and act like builders. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks , PySpark , Python and SQL . Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem . Develop and maintain Delta Lake-based data architectures. Develop robust and scalable data products and modern data platform components supporting strategic business initiatives. Contribute to CI/CD implementatio n and automation for data solutions. Apply engineering best practices around source control, testing, deployment, and monitoring. Support Infrastructure-as-Code and environment standardisation initiatives. Ensure high standards of data quality , observability , monitoring , security , and operational reliability . Collaborate with Product Managers , Architects , Data Engineers , and business stakeholders to deliver high-quality outcomes. Participate in technical design discussions and contribute to solution architecture decisions. Support platform governance , cost optimisation , technical documentation, and knowledge sharing initiatives. 👤 Who You Are You are a passionate Data Engineer who enjoys building scalable, reliable, and modern cloud-based data platforms . You have a strong engineering mindset and take pride in delivering high-quality, maintainable, and production-ready solutions. You balance hands-on technical delivery with an understanding of broader architectural and business objectives. You are comfortable working independently , taking ownership of technical challenges, and driving solutions from design through implementation. You thrive in Agile environments and enjoy collaborating with multidisciplinary teams across different geographies. You are an advocate for engineering excellence , promoting automation, standardisation, and continuou