Skip To Main Content
backBack to Search

Data Engineer(Azure)

Office in China: Suzhou, & 4 others
Data Software Engineering& 6 others
hot
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

We are seeking a Data Engineer (Azure) to build and run scalable data pipelines and platforms on Microsoft Azure. You will work hands-on with Azure Data Factory, Azure Databricks and Azure SQL, plus streaming, automation and governance, to deliver reliable data products teams can trust.

Responsibilities
  • Design and build batch and streaming data pipelines using Azure Data Factory and Azure Databricks
  • Develop and optimize data models and workloads in Azure SQL and cloud data stores
  • Implement event-driven data processing with Azure Event Hubs and Kafka
  • Automate deployments using Azure DevOps pipelines and Infrastructure as Code
  • Containerize services with Docker and run workloads on Azure Kubernetes Service (AKS)
  • Implement data governance and lineage with Microsoft Purview
  • Monitor platform health, costs and performance using Azure Monitor and logging
  • Partner with engineering and product teams to deliver end-to-end data solutions
Requirements
  • Proven experience building data pipelines with Azure Data Factory
  • Hands-on experience with Azure Databricks for data processing and orchestration
  • Strong skills in Azure SQL plus Python and SQL for transformation and automation
  • Knowledge of streaming patterns using Azure Event Hubs and/or Kafka
  • Experience with Azure Data Lake Storage and Azure Cosmos DB in modern data platforms
  • Familiarity with Azure DevOps and Infrastructure as Code (Bicep, Terraform or Azure Resource Manager templates)
  • Ability to apply governance and monitoring using Microsoft Purview and Azure Monitor
  • Clear communication and collaborative problem-solving in cross-functional teams
Nice to have
  • Azure certifications related to data engineering or solution architecture
  • Experience with big data architectures and advanced analytics
  • Comfort working in agile delivery models and enterprise environments