Azure Data Engineer

ContractRemote
usvia Workable ATSPosted Aug 28, 2025
Match with my CV

Technical skills

SQLData engineeringData analysisData scienceCI/CDAzureCloud platformsDevOpsSRE

Role signals

Legal

About this role

Must Have: Certification: Required – Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,

Job Summary:

We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and PostgreSQL . The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based) .
  • Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
  • Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
  • Optimize performance of data workflows, especially within Azure environments.
  • Implement data quality checks, lineage tracking, and monitoring processes.
  • Follow and contribute to data governance, security, and compliance policies.
  • Participate in code reviews, documentation, and continuous improvement initiatives.
  • Required

Skills & Experience

  • Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
  • Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
  • Proficient in building ETL/ELT workflows and data orchestration on Azure.
  • Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
  • Strong understanding of data modeling, warehousing concepts, and performance optimization.
  • Familiarity with CI/CD pipelines in Azure DevOps is a plus.
  • Excellent problem-solving skills and ability to work independently or in a team.

Before you apply

  • 1Which parts of your CV prove experience with SQL, Data engineering, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?