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Software Engineer 2 - Data

Taipei City, TW

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
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What you’ll work on

Full posting
  • Design, develop, and deliver high-quality software for production services

  • Support data pipelines, ETL/ELT processes, data models, and analytical solutions

  • Drive adoption of modern data engineering capabilities and share good engineering practices

From the employer’s posting
Design, develop, and deliver high-quality software to enhance the availability, reliability, scalability, latency, security, resiliency, and efficiency of our services.
Experience designing, developing, or supporting data pipelines, ETL/ELT processes, data models, or analytical solutions
Collaborate across teams to share good practices, improve engineering standards, evaluate emerging technologies, and drive adoption of modern data engineering capabilities.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science or related technical field, or equivalent experience
  • 2+ years coding in languages such as C, C++, C#, Java, JavaScript, or Python
  • 2+ years building and shipping production services
  • Experience with Azure Data Factory, SSIS, or similar ETL/ELT tools
  • Experience in a DevOps culture, supporting live site
Qualification wording
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience
2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
2+ years of a proven track record for building and shipping production service
ETL/ELT environments with Azure Data Factory, SSIS or similar technologies
Experience in a DevOps culture, particularly for supporting live site

Tools in this posting

  • C
  • C#
  • C++
  • Java
  • JavaScript
  • Python
  • Azure
Source — Tool mentions in context
As part of the team, you will: Design, develop, and deliver high-quality software to enhance the availability, reliability, scalability, latency, security, resiliency, and efficiency of our services. Collaborate across teams to share good practices, improve engineering standards, evaluate emerging technologies, and drive adoption of modern data engineering capabilities. Demonstrate the ability to learn rapidly, be self-directed, and collaborate effectively with team members. Foster a culture of being agile, innovative, team-oriented, customer-focused and data-driven. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience 2+ years of a proven track record for building and shipping production service Experience designing, developing, or supporting data pipelines, ETL/ELT processes, data models, or analytical solutions Demonstrated ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation The ability to multi-task while balancing short-term and long-term tasks Agility in fast paced environment ETL/ELT environments with Azure Data Factory, SSIS or similar technologies Azure Core Platform with machine learning, storage, networking, access, certificate, and compliance management Proven testing/validation, analytics/telemetry and problem-solving skills Experience in a DevOps culture, particularly for supporting live site Deep passion for customer-centric approaches, design thinking, data analysis, and emerging technologies

Posting record

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Status in our records
Live
First seen by us
Sep 26, 2026 · 33 days ago
Recorded sightings
166
Last seen by us
Oct 29, 2026
Employer says posted
Sep 23, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on apply.careers.microsoft.com. The employer’s form will show what is required.

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Job description

View original posting ↗

As part of the team, you will: Design, develop, and deliver high-quality software to enhance the availability, reliability, scalability, latency, security, resiliency, and efficiency of our services. Collaborate across teams to share good practices, improve engineering standards, evaluate emerging technologies, and drive adoption of modern data engineering capabilities. Demonstrate the ability to learn rapidly, be self-directed, and collaborate effectively with team members. Foster a culture of being agile, innovative, team-oriented, customer-focused and data-driven. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience 2+ years of a proven track record for building and shipping production service Experience designing, developing, or supporting data pipelines, ETL/ELT processes, data models, or analytical solutions Demonstrated ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation The ability to multi-task while balancing short-term and long-term tasks Agility in fast paced environment ETL/ELT environments with Azure Data Factory, SSIS or similar technologies Azure Core Platform with machine learning, storage, networking, access, certificate, and compliance management Proven testing/validation, analytics/telemetry and problem-solving skills Experience in a DevOps culture, particularly for supporting live site Deep passion for customer-centric approaches, design thinking, data analysis, and emerging technologies
Source details

View original posting ↗

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Location & working pattern

Taipei City, TW

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