Senior Full Stack Data & Analytics Developer – Azure Synapse / Microsoft Fabric / Power BI
NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate: telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare.
To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future.
Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world.




We are looking for people experienced Full Stack Data & Analytics Developer supporting ERP reporting and data visualization initiatives within international humanitarian organizations. Specialized in Microsoft Fabric, Azure Synapse, and Power BI, with a strong background in data modeling, data engineering, and report development.
Designing and implementing end-to-end reporting solutions for Microsoft Dynamics 365 Finance & Operations (D365 F&O;).
Developing dashboards and paginated reports in Power BI based on business requirements across HR, Finance, Logistics, and Project Management.
Building scalable data products using SQL, PySpark, and Data Vault / Dimensional modeling techniques.
Ensuring data quality, performance optimization, and secure deployment to production environments.
Collaborating with cross-functional teams in Geneva and Budapest, with fluent English communication.
5+ years in data engineering, including 3+ years with Microsoft Fabric or Azure Synapse and Power BI.
~ Proven experience with big data platforms (Databri

📌 Full Stack Developer (España)
🏢 NTT DATA
📍 España