Join Nortal for your next big adventure. We are seeking a Senior Data Engineer (Microsoft Fabric) to join our team, grow with us, and teach us a few things along the way. Why join Nortal Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values. Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. Our benefits ✨ Competitive USD salary. 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. Annual credit: Spend it on the perks you love to enhance your work-life balance. Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. About the project As a Senior Data Engineer (Microsoft Fabric), you will be a hands-on builder — designing and implementing data pipelines, analytic data products, and platform infrastructure while serving as a trusted technical resource for the client. Strong client-facing skills and the ability to mentor are as important as technical depth. What you’ll do Build and maintain data pipelines, lakehouses, and semantic models in Microsoft Fabric (Lakehouses, Warehouses, Dataflows Gen2, Data Pipelines, Notebooks). Implement ELT/ETL patterns using the medallion architecture (bronze/silver/gold) on OneLake. Manage CI/CD pipelines in Azure DevOps, including Fabric workspace deployment and Git integration. Write clean, performant SQL (T-SQL) and Python/PySpark for data transformation and engineering. Collaborate with business stakeholders to translate analytics requirements into data products. Mentor and teach client team members — you should be comfortable being the expert in the room. Support migration from legacy reporting tools to Fabric-based solutions. What makes you a great fit 🎯 Bachelor's Degree in Computer Science, Engineering, or a related field. Hands-on experience building in Microsoft Fabric — lakehouses, pipelines, notebooks, Direct Lake/Power BI integration. Strong Azure ecosystem background: Azure Data Lake Storage Gen2, Azure Data Factory, Entra ID, Azure DevOps. Proficiency in T-SQL and Python/PySpark; Delta Lake/Parquet format experience. Experience managing CI/CD for data workloads (Azure DevOps pipelines, Fabric Git integration). Comfort with dimensional and medallion data modeling. Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. Global Impact, Local Culture 🌍 For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future. We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives. Apply now and let’s shape the future of technology together! 🧑‍💻 By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.