Senior Data Engineer (Azure)

May 4, 2026

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<h2>🌍 About Keyrus</h2>Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.#OneTeamOneKeyrus<hr><h2>🎯 The Role</h2>As a Senior Data Engineer (Azure), you will work at the intersection of data engineering, backend services, and cloud platforms, helping build scalable data foundations that enable analytics, integrations, and data‑driven decision‑making.You will join a collaborative, cross‑functional team working in an agile environment, contributing end‑to‑end to modern data platforms and integration solutions across the Azure ecosystem.📍 Job location: Remote (Europe‑based) 🕒 Contract type: Contractor 🗓 Target start date: ASAP ⏰ Working hours: Full-time 💵 Compensation: Daily rate €250 – €350Note: All applications (CVs) must be submitted in English.<hr><h2>💥 Your Impact</h2>In this role, you will:<ul><li>Design, develop, and maintain scalable data pipelines and backend services on Azure</li><li>Build and optimize data products and data platforms using modern lakehouse architectures</li><li>Develop and maintain APIs and integrations to connect internal and external systems</li><li>Ensure data quality, reliability, and performance across pipelines and services</li><li>Work with structured and unstructured data to support analytics and downstream systems</li><li>Contribute to CI/CD pipelines, automation, and deployment processes</li><li>Collaborate in a cross-functional Agile team, taking shared ownership of deliverables</li><li>Continuously improve solutions, standards, and team practices</li></ul><hr><h2>⚡ What Makes This Role Challenging</h2><ul><li>You will work on modern, large-scale data platforms in evolving environments</li><li>You are expected to balance quality, scalability, and delivery speed</li><li>You will collaborate across data, backend, and platform engineering domains</li><li>You will contribute beyond isolated components, owning solutions end to end</li><li>Autonomy increases with experience — so does responsibility</li></ul><hr><h2>👤 What We’re Looking For</h2><h3>Must-haves</h3><ul><li>Minimum 5+ years of experience as a Data Engineer</li><li>Experience working in Agile/Scrum environments</li><li>Strong experience with Python and object-oriented programming</li><li>Solid experience with Microsoft Azure (e.g., ADLS, ADF, Synapse, or similar services)</li><li>Hands-on experience with Databricks (Notebooks, Delta Lake)</li><li>Strong SQL skills for data processing and validation</li><li>Experience building and maintaining APIs and backend services (REST, event-driven)</li><li>Familiarity with CI/CD pipelines and DevOps practices</li><li>Strong analytical and problem-solving skills</li><li>Fluency in English</li><li>Must be based in Europe</li></ul><h3>Nice-to-haves</h3><ul><li>Experience with data modeling and data architecture</li><li>Familiarity with event-driven architectures and distributed systems</li><li>Experience with data governance tools (e.g., Unity Catalog)</li><li>Exposure to AI/ML data preparation or data-driven platforms</li><li>Experience with JSON and API-based data ingestion</li><li>Experience with Kubernetes / containerized environments is a plus</li></ul><h3>Mindset & Soft Skills</h3><ul><li>Strong analytical and problem-solving skills</li><li>Proactive, hands-on, and solution-oriented mindset</li><li>Excellent communication and collaboration skills</li><li>Eagerness to learn and work with new technologies</li><li>Comfortable working in a fast-paced, evolving environment</li></ul><h3>Working Environment</h3><ul><li>Agile and collaborative teams with shared ownership</li><li>Cross-functional setup combining data, backend, and platform engineering</li><li>Strong focus on knowledge sharing and continuous improvement</li><li>Opportunity to work on modern, scalable data and integration solutions</li></ul><hr><h2>💰 How Our Salary Ranges Work</h2>At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.<ul><li>Bottom of the range You meet the core requirements and will need ramp-up time and support.</li><li>Middle of the range You are fully autonomous from Day 1 and deliver consistently.</li><li>Top of the range You are a reference for the role, mentor others, and raise the bar for the team.</li></ul>Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.<hr><h2>🎁 What We Offer at Keyrus Portugal</h2><ul><li>Competitive salary aligned with your experience and the data market</li><li>Meal allowance: €10.20/day</li><li>Flexible benefits plan</li><li>Private medical insurance</li><li>22 days of annual leave, increasing every 3 years (up to 25 days)</li><li>Continuous learning via KLX – Keyrus Learning Experience</li><li>A collaborative, international, and human-centred work environment</li></ul><hr><h2>💙 Why Keyrus?</h2>Joining Keyrus means joining:<ul><li>A market leader in Data Intelligence</li><li>A company where people, trust, and diversity are core values</li><li>An environment that values ownership, flexibility, and innovation</li><li>A place where different backgrounds and perspectives are not just welcomed = they are essential</li></ul>We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.<hr><h2>♿ Equal Opportunity Statement</h2>We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic. <figure><lite-youtube videoid="D0Zdvc0v0so" title="Play: Video" posterquality="sddefault"></lite-youtube></figure>

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