Microsoft Fabric Data Engineer

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
Modern Work, Security, Apps & Infrastructure, Digital & App Innovation, Data & AI, 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
  ,
  
  ,
  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
  : hands‑on experience with
  OneLake/Lakehouse
  ,
  Data Engineering (Spark)
  ,
  Data Factory
  ,
  Data Warehouse
  ,
  Power BI
  , and
  Real‑Time Intelligence
  .
• Languages & Querying
  : proficiency in
  SQL
  ,
  Python (PySpark)
  ,
  DAX/MDX
  ; experience with data modeling (star schema, data vault) and performance optimization.
• Azure
  : familiarity with
  ADLS Gen2
  ,
  Event Hubs / Stream Analytics
  ,
  Functions / Logic Apps
  ,
  Key Vault
  ,
  Purview
  , and core concepts of networking, security, and identity.
• AI
  : solid knowledge of machine learning fundamentals (model lifecycle, feature engineering, MLOps) and integration with
  Azure ML / Azure AI Studio / OpenAI
  .
• Engineering practices
  : experience with
  Git
  ,
  CI/CD
  (Azure DevOps or GitHub),
  IaC
  (Bicep/Terraform), testing, and observability.
• Soft skills
  : consulting mindset, strong problem‑solving ability, clear communication, and teamwork; English level
  B2+
  .