Microsoft Data Engineer

Are you a Data Engineer expert in Microsoft Fabric ?

We are Reply , and we are looking for you!

WHO WE ARE

Reply is a company that specialises in Consulting, Systems Integration and Digital Services with a focus on the conception, design and implementation of solutions based on the new communication channels and digital media. Reply partners with key industrial groups in defining and developing business models made possible by the new technological and communication paradigms such as Artificial Intelligence, Big Data, Cloud Computing, Digital Communication, the Internet of Things and Mobile and Social Networking.

WHAT WILL YOU DO?

• Core activities . You will design end‑to‑end solutions on Microsoft Fabric and you will develop Azure integrations and data platforms, including ingestion and processing; you will have the opportunity to train and deploy models and to develop microservices and front‑end components to support data-driven use cases. You will collaborate with IT, product, and business teams to translate requirements into scalable and secure solutions.
• Technologies . 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). , C#/.NET, Python/FastAPI, Node.js/TypeScript, React.
• Team work . You will join a talented team where you will make strategic decisions about designing, building, deploying and maintaining solutions. In our annual survey, collaboration and trust among colleagues are rated by our team at 6.6/7. We keep it real, which includes taking care of our crew beyond the daily grind. We value team building because, let’s face it, all work and no play? Not on our watch! We make sure to sprinkle in some fun and games to keep the spirits high and the ideas flowing.
• Academic background . A Bachelor's or Master's degree in Computer Science/Computer Engineering/Management Engineering or other equivalent technical degree.
• Valuable expertise . Minimum 3+ years in data engineering/analytics roles on Microsoft or equivalent technology stacks; hands‑on experience with OneLake/Lakehouse, Data Engineering (Spark), Data Factory, Data Warehouse, Power BI, and Real‑Time Intelligence; Familiarity with ADLS Gen2, Event Hubs / Stream Analytics, Functions / Logic Apps, Key Vault, Purview, and core concepts of networking, security, and identity; Solid knowledge of machine learning fundamentals (model lifecycle, feature engineering, MLOps) and integration with Azure ML / Azure AI Studio / OpenAI.
• Nice to have . Microsoft Certifications will be considered a plus.
• Soft skills . Consulting mindset, strong problem‑solving ability, clear communication, and teamwork.

YOU WILL LOVE WORKING WITH US BECAUSE…

• We have a start-up heart . Hundreds of small units with their own projects and teams. Guaranteed hands‑on experience, flexibility, table footballs and free coffee.
• But we dream worldwide . We have the structure to make your ideas matter. We partner with major groups over 4 continents and 15 countries.
• We are customers‑obsessed . Excellence is in our DNA. We strive for the best. We get our hands dirty. We get results.
• We are learning . We at Reply are always aiming for true innovation. Even though it still may look unreal.

WHAT ARE THE NEXT STEPS

The first step of our recruiting process will be the meetings with the technical referents and then a face to face interview with the HR team. We care about an equal recruiting process.

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).

Furthermore, Reply is committed to ensuring a fair and accessible selection process: to help you during the recruitment process, please let us know of any kind of support you may need.