Microsoft Data Engineer II 

Taiwan, Taoyuan City 

32748022

As aIn this exciting role, you'll work with a diverse group of talented professionals, innovate for greater platform efficiency as well as leveraging the latest technologies and best practices to streamline our update processes with timely in-depth insights and intelligent features.

Required Qualifications:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience.
• 3+ years with scripting and coding languages with a focus on data engineering, like SQL, KQL, python, Scope, C# (or similar object-oriented languages) and others.
• 1+ years of experience with building large data processing frameworks using technologies like Azure Data Factory, Azure Data Explorer, PowerBI and/or other public and Microsoft internal tools.
  
• 1+ years of experience in analytics to define, monitor, and optimize key performance indicators (KPIs) and connected business metrics that ensure measurable customer success.
  
• 1+ years of proven ability to orchestrate and sustain a data-driven rhythm of business, transforming insights into actionable strategies that align with organizational priorities and deliver impactful outcomes.

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:

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

Preferred Qualifications:

• A solid quality mindset with the ability to deliver end-to-end data solutions that build partner and customer confidence, ensuring alignment with business objectives and measurable outcomes.
• Experience with Git, ADO or equivalent Source Control Systems.
• Experience with data visualization tools and how to effectively communicate Insights to consumers of varying types of audiences.
• Experience leveraging AI to define and evaluate quality standards

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 October 14, 2025.

• Data Management and Transformation: With guidance, you will apply modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.

• Drive Customer Success: Through Data and Business Insight: You will play a pivotal role in building a metrics-driven culture that directly impacts product quality and customer outcomes. This role goes beyond technical execution—you will design and implement measurement frameworks from the ground up while applying a strategic, top-down perspective to ensure the right metrics are in place. Your ability to translate data into actionable insights, aligned with business priorities and rhythm of business, will enable informed decisions that drive high-quality product outcomes and measurable customer success.
• Data Requirements and Modeling: Collaborate with stakeholders to document and understand data requirements. Evaluate project plans to assess data costs, access, and availability. Draft design specifications to model data flow and storage, ensuring data is easy to connect and manage.
• Compliance: You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You’ll also learn about permissions and approvals for data access within a data pipeline.
• Validation and Quality Mindset: Apply and use operational fundamentals to validate and ensure quality of the product as well as the underlying data pipeline and assets to secure trustworthiness in your data daily.
• Customer Focus: Be driven by a focus on customer happiness and success. We as a team only succeed if our customers are secure and protected via the updates we deliver.
• Embody our and .