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Microsoft Senior Data Engineer 
Taiwan, Taoyuan City 
740039653

25.09.2025

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Required Minimum Qualifications:

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
  • 3+ years of experience in developing tools and data pipelines processing very large volume data by using Apache Spark and Python or similar tools.
  • 3+ years of experience with data governance, data compliance and/or data security.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
  • 4+ years of experience in data engineering languages like Python, PySpark, SQL and others.
  • 3+ years of experience in data modeling.
  • 5+ years of hands-on experience with modern data storage and processing technologies, including relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems such as HDFS and ADLS Gen2, as well as messaging systems like Event Hub.
  • Proven expertise in handling and processing large-scale data volumes.
  • Experience with GDPR and security compliances.
  • Familiarity Azure DevOps, CICD pipeline and release automation.
  • Extensive expertise in data observability.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 28, 2025.

Responsibilities
  • Design, build, and maintain scalable, reliable, and observable data and ML infrastructure.
  • Collaborate closely with data scientists, data source owners, and partner engineering teams to deliver seamless and secure data workflows.
  • Create data observability to ensure data health, including data quality and an up-to-date data catalog.
  • Optimize performance of big data jobs.
  • Participate in technical design and code reviews and contribute to maintaining a clean, secure, and well-documented codebase.
  • Proactively identify and resolve bottlenecks and inefficiencies in data pipelines and infrastructure.
  • Maintain compliance with all applicable laws and policies across your assigned workstreams.
  • Embody ourand

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