Microsoft Fabric Data Engineer
Pubblicato il 17-09-2026 - Società riconosciuta in Italia
Cluster Reply is a Reply Group company specializing in consulting, system integration, and digital services, with a strong focus on developing solutions based on Microsoft technologies. As a Microsoft Cloud Solutions Partner, we operate across the areas of Data & AI, Modern Work, Security, Infrastructure, Digital & App Innovation, Business Applications, and Low Code.
We are looking for a Microsoft Fabric / Data Engineer with experience in designing and building modern data platforms on Microsoft Fabric, implementing Azure integrations, and enabling AI use cases, with the ability to work also as a full‑stack developer supporting data applications.
Are you looking for a challenge in a dynamic and innovative environment? Join our team!
WHAT THE JOB IS ABOUT
- Design end‑to‑end solutions on Microsoft Fabric, including: OneLake, Lakehouse, Data Engineering (Spark/Notebooks), Data Factory (Pipelines), Data Warehouse (SQL endpoint), Real‑Time Intelligence, Data Activator, and Power BI (semantic models, DAX, tabular).
- Develop Azure integrations and data platforms, including ingestion and processing with ADLS Gen2, orchestration with Azure Functions / Logic Apps, streaming with Event Hubs / Stream Analytics, data exposure through API Management, secret management via Key Vault, and governance with Microsoft Purview.
- AI & MLOps: model training and deployment using Azure Machine Learning, integration with Azure AI Studio/OpenAI, implementation of RAG patterns on OneLake, and orchestration of ML pipelines within Fabric.
- Full‑stack data applications: develop microservices and front‑end components to support data-driven use cases (e.g., C#/.NET, Python/FastAPI, Node.js/TypeScript, React), embed Power BI, and manage CI/CD pipelines with Azure DevOps/GitHub Actions.
- DataOps / DevOps / MLOps: version control, testing, monitoring, IaC (Bicep/Terraform), cost governance (FinOps), and security‑by‑design principles.
- Cross‑functional collaboration with IT, product,
and business teams to translate requirements into scalable and secure solutions
WHAT WE OFFER
- Collaborative environment. You will join a talented team where you will contribute to strategic decisions related to designing, building, deploying, and operating modern data solutions.
- Training & Certification path. Access to certification programs, internal communities, and mentorship opportunities.
- Challenging enterprise projects across multiple industries and fast adoption of the newest Microsoft Fabric & AI innovations.
REQUIREMENTS
- Experience: minimum 3+ years in data engineering/analytics roles on Microsoft or equivalent technology stacks.
- Academic background: A Bachelor's or Master's degree in Computer Science/Computer Engineering or other equivalent technical degree.
- Microsoft Fabric & Azure: hands‑on experience with OneLake/Lakehouse, Data Engineering (Spark), Data Factory, Data Warehouse, Power BI, and Real‑Time Intelligence and core concepts of networking, security, and identity (ADLS Gen2, Event Hubs / Stream Analytics, Functions / Logic Apps, Key Vault, Purview).
- Languages & Querying: proficiency in SQL, Python (PySpark), DAX/MDX; experience with data modeling, performance optimization, Git, CI/CD, IaC, tesing and observability.
- AI: solid knowledge of machine learning fundamentals and integration with Azure ML / Azure AI Studio / OpenAI.
- Soft skills: consulting mindset, strong problem‑solving ability, clear communication, and teamwork
If you are ready to take the next step in your career and join a team of passionate and innovative professionals, we’re excited to have you on board! ?
Apply now!
Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99).
Reply is committed to ensuring that our candidate selection methods are fair and just. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.